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dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="24583085"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/24583085/Inducible_fluorescent_speckle_microscopy"><img alt="Research paper thumbnail of Inducible fluorescent speckle microscopy" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/24583085/Inducible_fluorescent_speckle_microscopy">Inducible fluorescent speckle microscopy</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://uminho.academia.edu/MichaelBelsley">Michael Belsley</a></span></div><div class="wp-workCard_item"><span>The Journal of cell biology</span><span>, Jan 18, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The understanding of cytoskeleton dynamics has benefited from the capacity to generate fluorescen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The understanding of cytoskeleton dynamics has benefited from the capacity to generate fluorescent fiducial marks on cytoskeleton components. Here we show that light-induced imprinting of three-dimensional (3D) fluorescent speckles significantly improves speckle signal and contrast relative to classic (random) fluorescent speckle microscopy. We predict theoretically that speckle imprinting using photobleaching is optimal when the laser energy and fluorophore responsivity are related by the golden ratio. This relation, which we confirm experimentally, translates into a 40% remaining signal after speckle imprinting and provides a rule of thumb in selecting the laser power required to optimally prepare the sample for imaging. This inducible speckle imaging (ISI) technique allows 3D speckle microscopy to be performed in readily available libraries of cell lines or primary tissues expressing fluorescent proteins and does not preclude conventional imaging before speckle imaging. As a proo...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583085"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583085"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583085; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24583085]").text(description); $(".js-view-count[data-work-id=24583085]").attr('title', description).tooltip(); 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</script> <div class="js-work-strip profile--work_container" data-work-id="24583083"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/24583083/Backward_SDE_approach_to_modelling_of_gene_expression"><img alt="Research paper thumbnail of Backward SDE approach to modelling of gene expression" class="work-thumbnail" src="https://attachments.academia-assets.com/44912337/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24583083/Backward_SDE_approach_to_modelling_of_gene_expression">Backward SDE approach to modelling of gene expression</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/EShamarova">Evelina Shamarova</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this article, we introduce a new method to model stochastic gene expression. The protein conce...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this article, we introduce a new method to model stochastic gene expression. The protein concentration dynamics follows a backward stochastic differential equation (BSDE). To validate our approach we employ the Gillespie method to generate benchmark data. The numerical simulation shows that the data produced by both methods agree quite well.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fd0e0d94930c9f7260badb916b2e8894" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44912337,"asset_id":24583083,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44912337/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583083"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583083"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583083; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="24583082"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/24583082/Depth_map_Images_for_Automatic_Mice_Behavior_Recognition"><img alt="Research paper thumbnail of Depth-map Images for Automatic Mice Behavior Recognition" class="work-thumbnail" src="https://attachments.academia-assets.com/44912331/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24583082/Depth_map_Images_for_Automatic_Mice_Behavior_Recognition">Depth-map Images for Automatic Mice Behavior Recognition</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Animal behavior assessment plays an important role in basic and clinical neuroscience. Although a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Animal behavior assessment plays an important role in basic and clinical neuroscience. Although assessing the higher functional level of the nervous system is already possible, behavioral tests are extremely complex to design and analyze. Animal's responses are often evaluated manually, making it subjective, extremely time consuming, poorly reproducible and potentially fallible. The main goal of this work is to evaluate the use of the recently available consumer depth cameras, such as the Microsoft's Kinect, for detection of behavioral patterns of mice. The hypothesis is that the simultaneous capture of video and depth information, should enable a more feasible and robust method for automatic behavior recognition, over previously available systems. We present some preliminary results regarding initial steps of the project, namely depth based mouse segmentation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="680de1aa9f063e67d6d5c7230d68611d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44912331,"asset_id":24583082,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44912331/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583082"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583082; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23645446"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23645446/Building_simulating_and_visualizing_large_spiking_neural_networks_with_NeuralSyns"><img alt="Research paper thumbnail of Building, simulating and visualizing large spiking neural networks with NeuralSyns" class="work-thumbnail" src="https://attachments.academia-assets.com/44055927/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23645446/Building_simulating_and_visualizing_large_spiking_neural_networks_with_NeuralSyns">Building, simulating and visualizing large spiking neural networks with NeuralSyns</a></div><div class="wp-workCard_item"><span>Neurocomputing</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The understanding that many neuronal functional properties are the result of complex interactions...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The understanding that many neuronal functional properties are the result of complex interactions within large populations of neurons leads to the development and analysis of large network models. In these models, specificities such as connectivity and architecture of the heterogeneous neuronal population are at least as important as the individual neuronal dynamics in shaping the population's computational power. Unfortunately, designing, building, visualizing and simulating large network models focused on architecture complexity is not straightforward with most neuronal simulation tools. Visualization in particular, either for model construction debugging, online simulation analysis or even classroom demonstrations, is virtually unsupported in neuronal simulators targeting large network models. Here we present the simulation environment NeuralSyns, capable of handling models with up to 10 7 synapses, which offers (i) use of statistical descriptions to define and build large networks; (ii) GUI tool to construct complex architectures without the need to write code; (iii) information-rich graphical representations of the model architecture and dynamical state, before and during the simulations; (iv) simulation engine with compact and lean source code, fully commented, and simple to modify/ expand; (v) possibility to add new models for neurons, synapses and plasticity dynamics. NeuralSyns is written in C/C þ þ and relies on OpenGL code for its graphical engine. The use of specific OpenGL strategies removes rendering burden from the CPU (central processing unit) and places it in the GPU (graphics processing unit), reducing the simulation slowdown due to the graphical representation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1bc8e642badc50ef76e45e7f759698e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44055927,"asset_id":23645446,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44055927/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23645446"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23645446"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23645446; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23645445"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23645445/NMDA_Channels_Together_With_L_Type_Calcium_Currents_and_Calcium_Activated_Nonspecific_Cationic_Currents_Are_Sufficient_to_Generate_Windup_in_WDR_Neurons"><img alt="Research paper thumbnail of NMDA Channels Together With L-Type Calcium Currents and Calcium-Activated Nonspecific Cationic Currents Are Sufficient to Generate Windup in WDR Neurons" class="work-thumbnail" src="https://attachments.academia-assets.com/44055928/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23645445/NMDA_Channels_Together_With_L_Type_Calcium_Currents_and_Calcium_Activated_Nonspecific_Cationic_Currents_Are_Sufficient_to_Generate_Windup_in_WDR_Neurons">NMDA Channels Together With L-Type Calcium Currents and Calcium-Activated Nonspecific Cationic Currents Are Sufficient to Generate Windup in WDR Neurons</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DLima2">D. Lima</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a></span></div><div class="wp-workCard_item"><span>Journal of Neurophysiology</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">You might find this additional info useful... 32 articles, 12 of which can be accessed free at: T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">You might find this additional info useful... 32 articles, 12 of which can be accessed free at: This article cites /content/104/2/1155.full.html#ref-list-1 2 other HighWire hosted articles This article has been cited by [PDF] [Full Text] [Abstract] , April 1, 2014; 111 (7): 1507-1518. J Neurophysiol high prevalence of spontaneous activity in block preparation The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a [PDF] [Full Text] [Abstract] , August 1, 2014; 112 (3): 552-567. J Neurophysiol influence of stimulation frequency and GABAergic inhibition Modeling effects of spinal cord stimulation on wide-dynamic range dorsal horn neurons: including high resolution figures, can be found at: Updated information and services /content/104/2/1155.full.html can be found at: Journal of Neurophysiology about Additional material and information</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5b889563bfd5780c8a35d46f55723eea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44055928,"asset_id":23645445,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44055928/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23645445"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23645445"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23645445; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13919137"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13919137/Hippocampal_mossy_fibre_boutons_as_dynamical_synapses"><img alt="Research paper thumbnail of Hippocampal mossy fibre boutons as dynamical synapses" class="work-thumbnail" src="https://attachments.academia-assets.com/44806042/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13919137/Hippocampal_mossy_fibre_boutons_as_dynamical_synapses">Hippocampal mossy fibre boutons as dynamical synapses</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work the consequences on the activity of CA3 pyramidal neurons of the dynamic properties ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work the consequences on the activity of CA3 pyramidal neurons of the dynamic properties (facilitation and depression) associated with hippocampal mossy ÿbre boutons are explored; namely, a study is carried on the dependence of the pyramidal cell activity with the input stimulus frequency to the mossy ÿbre boutons as well as the in uence of the single vesicle post-synaptic response magnitude on this dependence. We calculate tuning curves for the mossy ÿbre boutons excitatory post-synaptic potentials as a function of pre-synaptic frequency and we show how this property, together with channels that contribute to spike frequency adaptation, makes the activity of CA3 pyramidal neurons strongly dependent on the temporal patterns of mossy ÿbres pre-synaptic signals.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="da8c6bd3f6e81c65a289bac320626489" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44806042,"asset_id":13919137,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44806042/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13919137"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13919137"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13919137; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13912043"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13912043/Neuronal_connectivity_inference_from_spike_trains_using_an_empirical_probabilistic_causality_measure"><img alt="Research paper thumbnail of Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13912043/Neuronal_connectivity_inference_from_spike_trains_using_an_empirical_probabilistic_causality_measure">Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure</a></div><div class="wp-workCard_item"><span>BMC Neuroscience</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13912043"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13912043"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13912043; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13912043]").text(description); $(".js-view-count[data-work-id=13912043]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13912043; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13912043']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13912043]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13912043,"title":"Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure","internal_url":"https://www.academia.edu/13912043/Neuronal_connectivity_inference_from_spike_trains_using_an_empirical_probabilistic_causality_measure","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13912000"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13912000/Inflammatory_pain_disrupts_the_orbitofrontal_neuronal_activity_and_risk_assessment_performance_in_a_rodent_decision_making_task"><img alt="Research paper thumbnail of Inflammatory pain disrupts the orbitofrontal neuronal activity and risk-assessment performance in a rodent decision-making task" class="work-thumbnail" src="https://attachments.academia-assets.com/39139028/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13912000/Inflammatory_pain_disrupts_the_orbitofrontal_neuronal_activity_and_risk_assessment_performance_in_a_rodent_decision_making_task">Inflammatory pain disrupts the orbitofrontal neuronal activity and risk-assessment performance in a rodent decision-making task</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aveiro.academia.edu/MiguelPaisVieira">Miguel Pais-Vieira</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VascoGalhardo">Vasco Galhardo</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DLima2">D. Lima</a></span></div><div class="wp-workCard_item"><span>Pain</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">It has been recently described that disruption of the neural mechanisms of emotion-based decision...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">It has been recently described that disruption of the neural mechanisms of emotion-based decision making occurs in both chronic pain patients and in animal models of pain; moreover, it also has been shown that chronic pain causes morphological and functional changes in the prefrontal cortex that may be crucial for this decision-making dysfunction. However, it is not known whether pain alone is capable of altering the neuronal encoding of decision exhibited by prefrontal neurons. We have previously shown that naïve animals have risk-averse performance in the rodent gambling task, whereas chronic pain animals reverse their choice preference and become risk prone. Using this paradigm, we chronically implanted arrays of multielectrodes and recorded from neuronal ensembles in the orbitofrontal cortex of freely moving animals performing 4 sessions of the rodent gambling task: 2 in control conditions and 2 after the onset of inflammatory pain induced by complete Freund&#39;s adjuvant injec...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bf297133bd69c31d5b4dcd3582d2b973" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39139028,"asset_id":13912000,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39139028/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13912000"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13912000"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13912000; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13912000]").text(description); $(".js-view-count[data-work-id=13912000]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13912000; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13912000']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "bf297133bd69c31d5b4dcd3582d2b973" } } $('.js-work-strip[data-work-id=13912000]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13912000,"title":"Inflammatory pain disrupts the orbitofrontal neuronal activity and risk-assessment performance in a rodent decision-making task","internal_url":"https://www.academia.edu/13912000/Inflammatory_pain_disrupts_the_orbitofrontal_neuronal_activity_and_risk_assessment_performance_in_a_rodent_decision_making_task","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[{"id":39139028,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39139028/thumbnails/1.jpg","file_name":"54b3ad2b0cf26833efcea053.pdf20151012-16080-1e8dj3h.pdf","download_url":"https://www.academia.edu/attachments/39139028/download_file","bulk_download_file_name":"Inflammatory_pain_disrupts_the_orbitofro.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39139028/54b3ad2b0cf26833efcea053.pdf20151012-16080-1e8dj3h-libre.pdf?1444691351=\u0026response-content-disposition=attachment%3B+filename%3DInflammatory_pain_disrupts_the_orbitofro.pdf\u0026Expires=1740167813\u0026Signature=NZuxZykBJbJ9ikeFBvYuNVcLY7HYhOVKYxfFZIlIfFfkjxv1WMs~zz3j6s7SU0pJiW-d7wn6TKQgnWOc8w5STSdkeSWo5PR1X8l0IKMUdf58NyGCOnrAFxPtQoIvXL0-frkZBVrEISIZ2IDNsvZIYGcTyoFF8Nf3JHwosRMZNTS2niU2HPn7yepuPtwikUEnOjLDFZGjM0VLU9DrvJn72AB7h8lB1VsdfGoJM7LioTa6EkZOFVOr9A2olsKONmLi6JYXwqYRh7EeRX0tm7SlIRRmQBeUKh3ML0JDkr55q49XvBMaSxX68eIItdnWQjOe7eV2RIIlxrV5IT~ADsvu-Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911999"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13911999/The_pronociceptive_dorsal_reticular_nucleus_contains_mostly_tonic_neurons_and_shows_a_high_prevalence_of_spontaneous_activity_in_block_preparation"><img alt="Research paper thumbnail of The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a high prevalence of spontaneous activity in block preparation" class="work-thumbnail" src="https://attachments.academia-assets.com/39139009/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13911999/The_pronociceptive_dorsal_reticular_nucleus_contains_mostly_tonic_neurons_and_shows_a_high_prevalence_of_spontaneous_activity_in_block_preparation">The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a high prevalence of spontaneous activity in block preparation</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DLima2">D. Lima</a></span></div><div class="wp-workCard_item"><span>Journal of Neurophysiology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Despite the importance and significant clinical impact of understanding information processing in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Despite the importance and significant clinical impact of understanding information processing in the nociceptive system, the functional properties of neurons in many parts of this system are still unknown. In this work we performed whole-cell patch-clamp recording in rat brainstem blocks to characterize the electrophysiological properties of neurons in the dorsal reticular nucleus (DRt), a region known to be involved in pronociceptive modulation. We also compared properties of DRt neurons with those in the adjacent parvicellular reticular nucleus (PCRt) and in neighboring regions outside the reticular formation. We found that neurons in the DRt and PCRt had similar electrophysiological properties and exhibited mostly tonic-like firing patterns, whereas neurons outside the reticular formation showed a larger diversity of firing-patterns. Interestingly, more than half of the neurons also showed spontaneous activity. While the general view of the reticular formation, being a loosely a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="46242b115b101b9486f15fed532708f1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39139009,"asset_id":13911999,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39139009/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911999"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911999"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911999; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911998"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911998/Electrophysiological_porperties_of_the_pronociceptive_dorsal_reticular_nucleus"><img alt="Research paper thumbnail of Electrophysiological porperties of the pronociceptive dorsal reticular nucleus" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911998/Electrophysiological_porperties_of_the_pronociceptive_dorsal_reticular_nucleus">Electrophysiological porperties of the pronociceptive dorsal reticular nucleus</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DLima2">D. Lima</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911998"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911998"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911998; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911998]").text(description); $(".js-view-count[data-work-id=13911998]").attr('title', description).tooltip(); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13911998]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911998,"title":"Electrophysiological porperties of the pronociceptive dorsal reticular nucleus","internal_url":"https://www.academia.edu/13911998/Electrophysiological_porperties_of_the_pronociceptive_dorsal_reticular_nucleus","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911997"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13911997/Field_dimension_and_skill_level_constrain_team_tactical_behaviours_in_small_sided_and_conditioned_games_in_football"><img alt="Research paper thumbnail of Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football" class="work-thumbnail" src="https://attachments.academia-assets.com/39139011/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13911997/Field_dimension_and_skill_level_constrain_team_tactical_behaviours_in_small_sided_and_conditioned_games_in_football">Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://lisboa.academia.edu/DuarteAraujo">Duarte Araujo</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PedroSilva204">Pedro Silva</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/JulioGarganta">Julio Garganta</a></span></div><div class="wp-workCard_item"><span>Journal of Sports Sciences</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study analysed the influence of field dimension and players’ skill level on collective tacti...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study analysed the influence of field dimension and players’ skill level on collective tactical behaviours during small-sided and conditioned games (SSCGs). Positioning and displacement data were collected using global positioning systems (15 Hz) during SSCGs (Gk+4 v. 4+Gk) played by two groups of participants (NLP- national-level and RLP-regional-level players) on different field dimensions (small: 36.8 × 23.8 m; intermediate: 47.3 × 30.6 and large: 57.8 × 37.4 m). Team tactical performance was assessed through established dynamic team variables (effective playing space, playing length per width ratio and team separateness) and nonlinear signal processing techniques (sample entropy of distances to nearest opponents and the teams’ centroids’ mutual information). Results showed that the effective playing space and team separateness increased significantly with pitch size regardless of participant skill level (P η 2 = 0.78 and P η 2 = 0.65, respectively). Playing length per width...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="526a75ef5a414d6f576b185d38b45741" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39139011,"asset_id":13911997,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39139011/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911997"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911997"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911997; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "526a75ef5a414d6f576b185d38b45741" } } $('.js-work-strip[data-work-id=13911997]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911997,"title":"Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football","internal_url":"https://www.academia.edu/13911997/Field_dimension_and_skill_level_constrain_team_tactical_behaviours_in_small_sided_and_conditioned_games_in_football","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[{"id":39139011,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39139011/thumbnails/1.jpg","file_name":"5453850b0cf2bccc490b17cd.pdf20151012-16080-9thbdg.pdf","download_url":"https://www.academia.edu/attachments/39139011/download_file","bulk_download_file_name":"Field_dimension_and_skill_level_constrai.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39139011/5453850b0cf2bccc490b17cd.pdf20151012-16080-9thbdg-libre.pdf?1444691353=\u0026response-content-disposition=attachment%3B+filename%3DField_dimension_and_skill_level_constrai.pdf\u0026Expires=1740056829\u0026Signature=aXhz22cDcpWTkzQsXVspjsF0HhnAAso1UWzYN-~~FEsocTxtoRLfQ4ffL3poBIGK6lVBFcmbdJtYJ9Xf-Dpd6ahblXwBuEM-5YTRNgW0AvDf8GQ68gF9uK0TFcNleaKRT-dtfQOYz~sjFyPckHtxwacFOXVh-LMHLOlabqxjNK9OMbiRONWKBkJXbO5YTGUfikVB97Va6tkD9f2ZYEZTM2IwgxCqetK0e9-gXlNtXOFhsDZrDmdjBLqo0m8KFEJ2LX6DgRzSepi-MOJ9HTjLhkz5WRZdKFtQniu-7RVg580g7bhAjPnJNxA6pQaxa7rd1MOcGyhoOLkg046k3HELAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":39139021,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39139021/thumbnails/1.jpg","file_name":"5453850b0cf2bccc490b17cd.pdf20151012-16080-117kv52.pdf","download_url":"https://www.academia.edu/attachments/39139021/download_file","bulk_download_file_name":"Field_dimension_and_skill_level_constrai.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39139021/5453850b0cf2bccc490b17cd.pdf20151012-16080-117kv52-libre.pdf?1444691352=\u0026response-content-disposition=attachment%3B+filename%3DField_dimension_and_skill_level_constrai.pdf\u0026Expires=1740056829\u0026Signature=VgWT1~dDfFgJyxyj6baEiqUh8RutxHzOlk7lnNDHSwt7MU9ODTLPYj3lXtpSeUgS-9BinSj5VjP0wjFoDW5APSbYflAiAc0kWooFX8~CQomwpjIP9gsXd8kCHSuUINe9DWdSHSkEbRQ2vIubwPJClW2OT2Z5R8cDww1M9maAnWYzuUk0s99C-X1JeXuH0cIvIHcDe65I6NG2ia3ci2KRONq0NLFkG06QPuGC5It0cHXJd-n9rW~T-uLGKu-d5J8dU3YYQQcAidxWDn5Xv2MfmzuJvEeZL5SsMxf5X~IT~wr8Kx71oW2-xSqzO96HdRteSngn3I6qsSzHJBFKR7KgLw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911996"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911996/Feedback_control_of_chromosome_separation_by_a_midzone_Aurora_B_gradient"><img alt="Research paper thumbnail of Feedback control of chromosome separation by a midzone Aurora B gradient" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911996/Feedback_control_of_chromosome_separation_by_a_midzone_Aurora_B_gradient">Feedback control of chromosome separation by a midzone Aurora B gradient</a></div><div class="wp-workCard_item"><span>Science</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Accurate chromosome segregation during mitosis requires the physical separation of sister chromat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Accurate chromosome segregation during mitosis requires the physical separation of sister chromatids before nuclear envelope reassembly (NER). However, how these two processes are coordinated remains unknown. Here, we identified a conserved feedback control mechanism that delays chromosome decondensation and NER in response to incomplete chromosome separation during anaphase. A midzone-associated Aurora B gradient was found to monitor chromosome position along the division axis and to prevent premature chromosome decondensation by retaining Condensin I. PP1/PP2A phosphatases counteracted this gradient and promoted chromosome decondensation and NER. Thus, an Aurora B gradient appears to mediate a surveillance mechanism that prevents chromosome decondensation and NER until effective separation of sister chromatids is achieved. This allows the correction and reintegration of lagging chromosomes in the main nuclei before completion of NER.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911996"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911996"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911996; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911996]").text(description); 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$a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911994"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911994/Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis"><img alt="Research paper thumbnail of Evaluation of a facial transplant candidate with a facegram: A baseline analysis" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911994/Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis">Evaluation of a facial transplant candidate with a facegram: A baseline analysis</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911994"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911994"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911994; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911994]").text(description); $(".js-view-count[data-work-id=13911994]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13911994; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13911994']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13911994]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911994,"title":"Evaluation of a facial transplant candidate with a facegram: A baseline analysis","internal_url":"https://www.academia.edu/13911994/Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911993"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911993/Genes_involved_in_centrosome_independent_mitotic_spindle_assembly_in_Drosophila_S2_cells"><img alt="Research paper thumbnail of Genes involved in centrosome-independent mitotic spindle assembly in Drosophila S2 cells" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911993/Genes_involved_in_centrosome_independent_mitotic_spindle_assembly_in_Drosophila_S2_cells">Genes involved in centrosome-independent mitotic spindle assembly in Drosophila S2 cells</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Animal mitotic spindle assembly relies on centrosome-dependent and centrosome-independent mechani...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Animal mitotic spindle assembly relies on centrosome-dependent and centrosome-independent mechanisms, but their relative contributions remain unknown. Here, we investigated the molecular basis of the centrosome-independent spindle assembly pathway by performing a whole-genome RNAi screen in Drosophila S2 cells lacking functional centrosomes. This screen identified 197 genes involved in acentrosomal spindle assembly, eight of which had no previously described mitotic phenotypes and produced defective and/or short spindles. All 197 genes also produced RNAi phenotypes when centrosomes were present, indicating that none were entirely selective for the acentrosomal pathway. However, a subset of genes produced a selective defect in pole focusing when centrosomes were absent, suggesting that centrosomes compensate for this shape defect. Another subset of genes was specifically associated with the formation of multipolar spindles only when centrosomes were present. We further show that the chromosomal passenger complex orchestrates multiple centrosome-independent processes required for mitotic spindle assembly/maintenance. On the other hand, despite the formation of a chromosome-enriched RanGTP gradient, S2 cells depleted of RCC1, the guanine-nucleotide exchange factor for Ran on chromosomes, established functional bipolar spindles. Finally, we show that cells without functional centrosomes have a delay in chromosome congression and anaphase onset, which can be explained by the lack of polar ejection forces. Overall, these findings establish the constitutive nature of a centrosome-independent spindle assembly program and how this program is adapted to the presence/absence of centrosomes in animal somatic cells.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911993"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911993"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911993; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911993]").text(description); $(".js-view-count[data-work-id=13911993]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13911993; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13911993']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13911993]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911993,"title":"Genes involved in centrosome-independent mitotic spindle assembly in Drosophila S2 cells","internal_url":"https://www.academia.edu/13911993/Genes_involved_in_centrosome_independent_mitotic_spindle_assembly_in_Drosophila_S2_cells","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911992"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13911992/A_feedforward_model_for_the_formation_of_a_grid_field_where_spatial_information_is_provided_solely_from_place_cells"><img alt="Research paper thumbnail of A feedforward model for the formation of a grid field where spatial information is provided solely from place cells" class="work-thumbnail" src="https://attachments.academia-assets.com/44810988/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13911992/A_feedforward_model_for_the_formation_of_a_grid_field_where_spatial_information_is_provided_solely_from_place_cells">A feedforward model for the formation of a grid field where spatial information is provided solely from place cells</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ipp.academia.edu/Lu%C3%ADsaCastro">Luísa Castro</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Grid cells (GCs) in the medial entorhinal cortex (mEC) have the property of having their firing a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Grid cells (GCs) in the medial entorhinal cortex (mEC) have the property of having their firing activity spatially tuned to a regular triangular lattice. Several theoretical models for grid field formation have been proposed, but most assume that place cells (PCs) are a product of the grid cell system. There is, however, an alternative possibility that is supported by various strands of experimental data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f1f36ad27d4f8d5baac73c9929acb1f2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44810988,"asset_id":13911992,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44810988/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911992"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911992"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911992; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911991"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911991/Kinetochore_motors_drive_congression_of_peripheral_polar_chromosomes_by_overcoming_random_arm_ejection_forces"><img alt="Research paper thumbnail of Kinetochore motors drive congression of peripheral polar chromosomes by overcoming random arm-ejection forces" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911991/Kinetochore_motors_drive_congression_of_peripheral_polar_chromosomes_by_overcoming_random_arm_ejection_forces">Kinetochore motors drive congression of peripheral polar chromosomes by overcoming random arm-ejection forces</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MarinBarisic">Marin Barisic</a></span></div><div class="wp-workCard_item"><span>Nature Cell Biology</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Accurate chromosome segregation during cell division in metazoans relies on proper chromosome con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Accurate chromosome segregation during cell division in metazoans relies on proper chromosome congression at the equator. Chromosome congression is achieved after bi-orientation to both spindle poles shortly after nuclear envelope breakdown, or by the coordinated action of motor proteins that slide misaligned chromosomes along pre-existing spindle microtubules. These proteins include the minus-end-directed kinetochore motor dynein, and the plus-end-directed motors CENP-E at kinetochores and chromokinesins on chromosome arms. However, how these opposite and spatially distinct activities are coordinated to drive chromosome congression remains unknown. Here we used RNAi, chemical inhibition, kinetochore tracking and laser microsurgery to uncover the functional hierarchy between kinetochore and arm-associated motors, exclusively required for congression of peripheral polar chromosomes in human cells. We show that dynein poleward force counteracts chromokinesins to prevent stabilization of immature/incorrect end-on kinetochore-microtubule attachments and random ejection of polar chromosomes. At the poles, CENP-E becomes dominant over dynein and chromokinesins to bias chromosome ejection towards the equator. Thus, dynein and CENP-E at kinetochores drive congression of peripheral polar chromosomes by preventing arm-ejection forces mediated by chromokinesins from working in the wrong direction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911991"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911991"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911991; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3198019" id="papers"><div class="js-work-strip profile--work_container" data-work-id="24583107"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/24583107/Netbuilder_A_Tool_for_Constructing_Large_and_Complex_Neural_Networks"><img alt="Research paper thumbnail of Netbuilder: A Tool for Constructing Large and Complex Neural Networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/24583107/Netbuilder_A_Tool_for_Constructing_Large_and_Complex_Neural_Networks">Netbuilder: A Tool for Constructing Large and Complex Neural Networks</a></div><div class="wp-workCard_item"><span>Frontiers in Neuroscience</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583107"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583107"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583107; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="24583085"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/24583085/Inducible_fluorescent_speckle_microscopy"><img alt="Research paper thumbnail of Inducible fluorescent speckle microscopy" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/24583085/Inducible_fluorescent_speckle_microscopy">Inducible fluorescent speckle microscopy</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://uminho.academia.edu/MichaelBelsley">Michael Belsley</a></span></div><div class="wp-workCard_item"><span>The Journal of cell biology</span><span>, Jan 18, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The understanding of cytoskeleton dynamics has benefited from the capacity to generate fluorescen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The understanding of cytoskeleton dynamics has benefited from the capacity to generate fluorescent fiducial marks on cytoskeleton components. Here we show that light-induced imprinting of three-dimensional (3D) fluorescent speckles significantly improves speckle signal and contrast relative to classic (random) fluorescent speckle microscopy. We predict theoretically that speckle imprinting using photobleaching is optimal when the laser energy and fluorophore responsivity are related by the golden ratio. This relation, which we confirm experimentally, translates into a 40% remaining signal after speckle imprinting and provides a rule of thumb in selecting the laser power required to optimally prepare the sample for imaging. This inducible speckle imaging (ISI) technique allows 3D speckle microscopy to be performed in readily available libraries of cell lines or primary tissues expressing fluorescent proteins and does not preclude conventional imaging before speckle imaging. As a proo...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583085"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583085"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583085; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24583085]").text(description); $(".js-view-count[data-work-id=24583085]").attr('title', description).tooltip(); 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</script> <div class="js-work-strip profile--work_container" data-work-id="24583083"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/24583083/Backward_SDE_approach_to_modelling_of_gene_expression"><img alt="Research paper thumbnail of Backward SDE approach to modelling of gene expression" class="work-thumbnail" src="https://attachments.academia-assets.com/44912337/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24583083/Backward_SDE_approach_to_modelling_of_gene_expression">Backward SDE approach to modelling of gene expression</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/EShamarova">Evelina Shamarova</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this article, we introduce a new method to model stochastic gene expression. The protein conce...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this article, we introduce a new method to model stochastic gene expression. The protein concentration dynamics follows a backward stochastic differential equation (BSDE). To validate our approach we employ the Gillespie method to generate benchmark data. The numerical simulation shows that the data produced by both methods agree quite well.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fd0e0d94930c9f7260badb916b2e8894" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44912337,"asset_id":24583083,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44912337/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583083"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583083"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583083; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24583083]").text(description); $(".js-view-count[data-work-id=24583083]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 24583083; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='24583083']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fd0e0d94930c9f7260badb916b2e8894" } } $('.js-work-strip[data-work-id=24583083]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":24583083,"title":"Backward SDE approach to modelling of gene expression","internal_url":"https://www.academia.edu/24583083/Backward_SDE_approach_to_modelling_of_gene_expression","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[{"id":44912337,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/44912337/thumbnails/1.jpg","file_name":"Backward_SDE_approach_to_modelling_of_ge20160420-28858-12scwej.pdf","download_url":"https://www.academia.edu/attachments/44912337/download_file","bulk_download_file_name":"Backward_SDE_approach_to_modelling_of_ge.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/44912337/Backward_SDE_approach_to_modelling_of_ge20160420-28858-12scwej-libre.pdf?1461141170=\u0026response-content-disposition=attachment%3B+filename%3DBackward_SDE_approach_to_modelling_of_ge.pdf\u0026Expires=1740167813\u0026Signature=RbDwCSdUEE0uFL1B1Amkob1LTUAOeJc6SVMgz2Lo2S1fOD0MaaimDM-JAcgoGHCvGCOlFWUpJKrCleXZmrDrGhsOmIH2woZyNvwXQOFXXQ87h9gyNUxCAWfwaT8Y0GKMWKB6nt0lLlS7sCmCvRcWON-APadUXeV5vrLy0hQxDw9OWNv5BkUmHwsVFV5T0kLQH9lQwX8BOm~P9226udin1rv5QjzFeSNW5YareaQ0srpJTgl4IVgm5k5enKkVqnj5ZmRxxFYa8uj7T9oQrFNT53kRG2yMVksdmQtSw4Lp4r~QVWxwLYYQzqS9ji40ivWnSMgVg493YtOWBQ3BLuA-sQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="24583082"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/24583082/Depth_map_Images_for_Automatic_Mice_Behavior_Recognition"><img alt="Research paper thumbnail of Depth-map Images for Automatic Mice Behavior Recognition" class="work-thumbnail" src="https://attachments.academia-assets.com/44912331/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24583082/Depth_map_Images_for_Automatic_Mice_Behavior_Recognition">Depth-map Images for Automatic Mice Behavior Recognition</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Animal behavior assessment plays an important role in basic and clinical neuroscience. Although a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Animal behavior assessment plays an important role in basic and clinical neuroscience. Although assessing the higher functional level of the nervous system is already possible, behavioral tests are extremely complex to design and analyze. Animal's responses are often evaluated manually, making it subjective, extremely time consuming, poorly reproducible and potentially fallible. The main goal of this work is to evaluate the use of the recently available consumer depth cameras, such as the Microsoft's Kinect, for detection of behavioral patterns of mice. The hypothesis is that the simultaneous capture of video and depth information, should enable a more feasible and robust method for automatic behavior recognition, over previously available systems. We present some preliminary results regarding initial steps of the project, namely depth based mouse segmentation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="680de1aa9f063e67d6d5c7230d68611d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44912331,"asset_id":24583082,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44912331/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24583082"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24583082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24583082; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24583082]").text(description); $(".js-view-count[data-work-id=24583082]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 24583082; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='24583082']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "680de1aa9f063e67d6d5c7230d68611d" } } $('.js-work-strip[data-work-id=24583082]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":24583082,"title":"Depth-map Images for Automatic Mice Behavior Recognition","internal_url":"https://www.academia.edu/24583082/Depth_map_Images_for_Automatic_Mice_Behavior_Recognition","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[{"id":44912331,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/44912331/thumbnails/1.jpg","file_name":"Depth-map_Images_for_Automatic_Mice_Beha20160420-9266-1mcne7k.pdf","download_url":"https://www.academia.edu/attachments/44912331/download_file","bulk_download_file_name":"Depth_map_Images_for_Automatic_Mice_Beha.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/44912331/Depth-map_Images_for_Automatic_Mice_Beha20160420-9266-1mcne7k-libre.pdf?1461141165=\u0026response-content-disposition=attachment%3B+filename%3DDepth_map_Images_for_Automatic_Mice_Beha.pdf\u0026Expires=1740167813\u0026Signature=Xi~8khByIM~sZsYcUAg215BfR-4VsJ~UZM04LrGc125RcWaTb0xzClXlIAQOeBStUPhCAbnUvzBXew5A1GIoBMExlo--WFv0jUPcEFR8mvEUBZVIS7GzJWsOQ8Mcvjr0JLk1MrCNdkb3aHtzrH4ImCyrab4eJdMyKCP5m8dQj4gzweX6oTPqRsJLjvPqPH5ZKrMn3ZGLFLm1obkJkJSZqTdcK2MrL~mlYLrornVayrVOqm0-qZWSPwVjmUFRijthLxZeRX5LCim9VL~eO1bh~VYNqbOxQvHTDEpt70r-kBQLhJPeVvV144B3qq9i5p9L9zrsceggosCuGTp9XlZRnw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23645446"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23645446/Building_simulating_and_visualizing_large_spiking_neural_networks_with_NeuralSyns"><img alt="Research paper thumbnail of Building, simulating and visualizing large spiking neural networks with NeuralSyns" class="work-thumbnail" src="https://attachments.academia-assets.com/44055927/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23645446/Building_simulating_and_visualizing_large_spiking_neural_networks_with_NeuralSyns">Building, simulating and visualizing large spiking neural networks with NeuralSyns</a></div><div class="wp-workCard_item"><span>Neurocomputing</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The understanding that many neuronal functional properties are the result of complex interactions...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The understanding that many neuronal functional properties are the result of complex interactions within large populations of neurons leads to the development and analysis of large network models. In these models, specificities such as connectivity and architecture of the heterogeneous neuronal population are at least as important as the individual neuronal dynamics in shaping the population's computational power. Unfortunately, designing, building, visualizing and simulating large network models focused on architecture complexity is not straightforward with most neuronal simulation tools. Visualization in particular, either for model construction debugging, online simulation analysis or even classroom demonstrations, is virtually unsupported in neuronal simulators targeting large network models. Here we present the simulation environment NeuralSyns, capable of handling models with up to 10 7 synapses, which offers (i) use of statistical descriptions to define and build large networks; (ii) GUI tool to construct complex architectures without the need to write code; (iii) information-rich graphical representations of the model architecture and dynamical state, before and during the simulations; (iv) simulation engine with compact and lean source code, fully commented, and simple to modify/ expand; (v) possibility to add new models for neurons, synapses and plasticity dynamics. NeuralSyns is written in C/C þ þ and relies on OpenGL code for its graphical engine. The use of specific OpenGL strategies removes rendering burden from the CPU (central processing unit) and places it in the GPU (graphics processing unit), reducing the simulation slowdown due to the graphical representation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1bc8e642badc50ef76e45e7f759698e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44055927,"asset_id":23645446,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44055927/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23645446"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23645446"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23645446; 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Lima</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a></span></div><div class="wp-workCard_item"><span>Journal of Neurophysiology</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">You might find this additional info useful... 32 articles, 12 of which can be accessed free at: T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">You might find this additional info useful... 32 articles, 12 of which can be accessed free at: This article cites /content/104/2/1155.full.html#ref-list-1 2 other HighWire hosted articles This article has been cited by [PDF] [Full Text] [Abstract] , April 1, 2014; 111 (7): 1507-1518. J Neurophysiol high prevalence of spontaneous activity in block preparation The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a [PDF] [Full Text] [Abstract] , August 1, 2014; 112 (3): 552-567. J Neurophysiol influence of stimulation frequency and GABAergic inhibition Modeling effects of spinal cord stimulation on wide-dynamic range dorsal horn neurons: including high resolution figures, can be found at: Updated information and services /content/104/2/1155.full.html can be found at: Journal of Neurophysiology about Additional material and information</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5b889563bfd5780c8a35d46f55723eea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44055928,"asset_id":23645445,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44055928/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23645445"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23645445"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23645445; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13919137"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13919137/Hippocampal_mossy_fibre_boutons_as_dynamical_synapses"><img alt="Research paper thumbnail of Hippocampal mossy fibre boutons as dynamical synapses" class="work-thumbnail" src="https://attachments.academia-assets.com/44806042/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13919137/Hippocampal_mossy_fibre_boutons_as_dynamical_synapses">Hippocampal mossy fibre boutons as dynamical synapses</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work the consequences on the activity of CA3 pyramidal neurons of the dynamic properties ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work the consequences on the activity of CA3 pyramidal neurons of the dynamic properties (facilitation and depression) associated with hippocampal mossy ÿbre boutons are explored; namely, a study is carried on the dependence of the pyramidal cell activity with the input stimulus frequency to the mossy ÿbre boutons as well as the in uence of the single vesicle post-synaptic response magnitude on this dependence. We calculate tuning curves for the mossy ÿbre boutons excitatory post-synaptic potentials as a function of pre-synaptic frequency and we show how this property, together with channels that contribute to spike frequency adaptation, makes the activity of CA3 pyramidal neurons strongly dependent on the temporal patterns of mossy ÿbres pre-synaptic signals.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="da8c6bd3f6e81c65a289bac320626489" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44806042,"asset_id":13919137,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44806042/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13919137"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13919137"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13919137; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13912043"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13912043/Neuronal_connectivity_inference_from_spike_trains_using_an_empirical_probabilistic_causality_measure"><img alt="Research paper thumbnail of Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13912043/Neuronal_connectivity_inference_from_spike_trains_using_an_empirical_probabilistic_causality_measure">Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure</a></div><div class="wp-workCard_item"><span>BMC Neuroscience</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13912043"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13912043"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13912043; 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Lima</a></span></div><div class="wp-workCard_item"><span>Pain</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">It has been recently described that disruption of the neural mechanisms of emotion-based decision...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">It has been recently described that disruption of the neural mechanisms of emotion-based decision making occurs in both chronic pain patients and in animal models of pain; moreover, it also has been shown that chronic pain causes morphological and functional changes in the prefrontal cortex that may be crucial for this decision-making dysfunction. However, it is not known whether pain alone is capable of altering the neuronal encoding of decision exhibited by prefrontal neurons. We have previously shown that naïve animals have risk-averse performance in the rodent gambling task, whereas chronic pain animals reverse their choice preference and become risk prone. Using this paradigm, we chronically implanted arrays of multielectrodes and recorded from neuronal ensembles in the orbitofrontal cortex of freely moving animals performing 4 sessions of the rodent gambling task: 2 in control conditions and 2 after the onset of inflammatory pain induced by complete Freund&#39;s adjuvant injec...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bf297133bd69c31d5b4dcd3582d2b973" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39139028,"asset_id":13912000,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39139028/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13912000"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13912000"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13912000; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911999"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13911999/The_pronociceptive_dorsal_reticular_nucleus_contains_mostly_tonic_neurons_and_shows_a_high_prevalence_of_spontaneous_activity_in_block_preparation"><img alt="Research paper thumbnail of The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a high prevalence of spontaneous activity in block preparation" class="work-thumbnail" src="https://attachments.academia-assets.com/39139009/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13911999/The_pronociceptive_dorsal_reticular_nucleus_contains_mostly_tonic_neurons_and_shows_a_high_prevalence_of_spontaneous_activity_in_block_preparation">The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a high prevalence of spontaneous activity in block preparation</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DLima2">D. Lima</a></span></div><div class="wp-workCard_item"><span>Journal of Neurophysiology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Despite the importance and significant clinical impact of understanding information processing in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Despite the importance and significant clinical impact of understanding information processing in the nociceptive system, the functional properties of neurons in many parts of this system are still unknown. In this work we performed whole-cell patch-clamp recording in rat brainstem blocks to characterize the electrophysiological properties of neurons in the dorsal reticular nucleus (DRt), a region known to be involved in pronociceptive modulation. We also compared properties of DRt neurons with those in the adjacent parvicellular reticular nucleus (PCRt) and in neighboring regions outside the reticular formation. We found that neurons in the DRt and PCRt had similar electrophysiological properties and exhibited mostly tonic-like firing patterns, whereas neurons outside the reticular formation showed a larger diversity of firing-patterns. Interestingly, more than half of the neurons also showed spontaneous activity. While the general view of the reticular formation, being a loosely a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="46242b115b101b9486f15fed532708f1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39139009,"asset_id":13911999,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39139009/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911999"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911999"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911999; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911998"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911998/Electrophysiological_porperties_of_the_pronociceptive_dorsal_reticular_nucleus"><img alt="Research paper thumbnail of Electrophysiological porperties of the pronociceptive dorsal reticular nucleus" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911998/Electrophysiological_porperties_of_the_pronociceptive_dorsal_reticular_nucleus">Electrophysiological porperties of the pronociceptive dorsal reticular nucleus</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DLima2">D. Lima</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911998"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911998"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911998; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911998]").text(description); $(".js-view-count[data-work-id=13911998]").attr('title', description).tooltip(); 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Positioning and displacement data were collected using global positioning systems (15 Hz) during SSCGs (Gk+4 v. 4+Gk) played by two groups of participants (NLP- national-level and RLP-regional-level players) on different field dimensions (small: 36.8 × 23.8 m; intermediate: 47.3 × 30.6 and large: 57.8 × 37.4 m). Team tactical performance was assessed through established dynamic team variables (effective playing space, playing length per width ratio and team separateness) and nonlinear signal processing techniques (sample entropy of distances to nearest opponents and the teams’ centroids’ mutual information). Results showed that the effective playing space and team separateness increased significantly with pitch size regardless of participant skill level (P η 2 = 0.78 and P η 2 = 0.65, respectively). Playing length per width...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="526a75ef5a414d6f576b185d38b45741" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39139011,"asset_id":13911997,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39139011/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911997"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911997"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911997; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "526a75ef5a414d6f576b185d38b45741" } } $('.js-work-strip[data-work-id=13911997]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911997,"title":"Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football","internal_url":"https://www.academia.edu/13911997/Field_dimension_and_skill_level_constrain_team_tactical_behaviours_in_small_sided_and_conditioned_games_in_football","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[{"id":39139011,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39139011/thumbnails/1.jpg","file_name":"5453850b0cf2bccc490b17cd.pdf20151012-16080-9thbdg.pdf","download_url":"https://www.academia.edu/attachments/39139011/download_file","bulk_download_file_name":"Field_dimension_and_skill_level_constrai.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39139011/5453850b0cf2bccc490b17cd.pdf20151012-16080-9thbdg-libre.pdf?1444691353=\u0026response-content-disposition=attachment%3B+filename%3DField_dimension_and_skill_level_constrai.pdf\u0026Expires=1740056829\u0026Signature=aXhz22cDcpWTkzQsXVspjsF0HhnAAso1UWzYN-~~FEsocTxtoRLfQ4ffL3poBIGK6lVBFcmbdJtYJ9Xf-Dpd6ahblXwBuEM-5YTRNgW0AvDf8GQ68gF9uK0TFcNleaKRT-dtfQOYz~sjFyPckHtxwacFOXVh-LMHLOlabqxjNK9OMbiRONWKBkJXbO5YTGUfikVB97Va6tkD9f2ZYEZTM2IwgxCqetK0e9-gXlNtXOFhsDZrDmdjBLqo0m8KFEJ2LX6DgRzSepi-MOJ9HTjLhkz5WRZdKFtQniu-7RVg580g7bhAjPnJNxA6pQaxa7rd1MOcGyhoOLkg046k3HELAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":39139021,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39139021/thumbnails/1.jpg","file_name":"5453850b0cf2bccc490b17cd.pdf20151012-16080-117kv52.pdf","download_url":"https://www.academia.edu/attachments/39139021/download_file","bulk_download_file_name":"Field_dimension_and_skill_level_constrai.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39139021/5453850b0cf2bccc490b17cd.pdf20151012-16080-117kv52-libre.pdf?1444691352=\u0026response-content-disposition=attachment%3B+filename%3DField_dimension_and_skill_level_constrai.pdf\u0026Expires=1740056829\u0026Signature=VgWT1~dDfFgJyxyj6baEiqUh8RutxHzOlk7lnNDHSwt7MU9ODTLPYj3lXtpSeUgS-9BinSj5VjP0wjFoDW5APSbYflAiAc0kWooFX8~CQomwpjIP9gsXd8kCHSuUINe9DWdSHSkEbRQ2vIubwPJClW2OT2Z5R8cDww1M9maAnWYzuUk0s99C-X1JeXuH0cIvIHcDe65I6NG2ia3ci2KRONq0NLFkG06QPuGC5It0cHXJd-n9rW~T-uLGKu-d5J8dU3YYQQcAidxWDn5Xv2MfmzuJvEeZL5SsMxf5X~IT~wr8Kx71oW2-xSqzO96HdRteSngn3I6qsSzHJBFKR7KgLw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911996"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911996/Feedback_control_of_chromosome_separation_by_a_midzone_Aurora_B_gradient"><img alt="Research paper thumbnail of Feedback control of chromosome separation by a midzone Aurora B gradient" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911996/Feedback_control_of_chromosome_separation_by_a_midzone_Aurora_B_gradient">Feedback control of chromosome separation by a midzone Aurora B gradient</a></div><div class="wp-workCard_item"><span>Science</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Accurate chromosome segregation during mitosis requires the physical separation of sister chromat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Accurate chromosome segregation during mitosis requires the physical separation of sister chromatids before nuclear envelope reassembly (NER). However, how these two processes are coordinated remains unknown. Here, we identified a conserved feedback control mechanism that delays chromosome decondensation and NER in response to incomplete chromosome separation during anaphase. A midzone-associated Aurora B gradient was found to monitor chromosome position along the division axis and to prevent premature chromosome decondensation by retaining Condensin I. PP1/PP2A phosphatases counteracted this gradient and promoted chromosome decondensation and NER. Thus, an Aurora B gradient appears to mediate a surveillance mechanism that prevents chromosome decondensation and NER until effective separation of sister chromatids is achieved. This allows the correction and reintegration of lagging chromosomes in the main nuclei before completion of NER.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911996"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911996"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911996; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911996]").text(description); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13911996]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911996,"title":"Feedback control of chromosome separation by a midzone Aurora B gradient","internal_url":"https://www.academia.edu/13911996/Feedback_control_of_chromosome_separation_by_a_midzone_Aurora_B_gradient","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911995"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911995/Erratum_Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis_Plastic_and_Reconstructive_Surgery_2013_132_479e_480_"><img alt="Research paper thumbnail of Erratum: Evaluation of a facial transplant candidate with a facegram: A baseline analysis (Plastic and Reconstructive Surgery (2013) 132 (479e-480))" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911995/Erratum_Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis_Plastic_and_Reconstructive_Surgery_2013_132_479e_480_">Erratum: Evaluation of a facial transplant candidate with a facegram: A baseline analysis (Plastic and Reconstructive Surgery (2013) 132 (479e-480))</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/DianaMonteiro">Diana Monteiro</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Export Date: 15 October 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911995"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911995"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911995; 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$a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911994"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911994/Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis"><img alt="Research paper thumbnail of Evaluation of a facial transplant candidate with a facegram: A baseline analysis" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911994/Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis">Evaluation of a facial transplant candidate with a facegram: A baseline analysis</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911994"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911994"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911994; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911994]").text(description); $(".js-view-count[data-work-id=13911994]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13911994; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13911994']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13911994]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911994,"title":"Evaluation of a facial transplant candidate with a facegram: A baseline analysis","internal_url":"https://www.academia.edu/13911994/Evaluation_of_a_facial_transplant_candidate_with_a_facegram_A_baseline_analysis","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911993"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911993/Genes_involved_in_centrosome_independent_mitotic_spindle_assembly_in_Drosophila_S2_cells"><img alt="Research paper thumbnail of Genes involved in centrosome-independent mitotic spindle assembly in Drosophila S2 cells" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911993/Genes_involved_in_centrosome_independent_mitotic_spindle_assembly_in_Drosophila_S2_cells">Genes involved in centrosome-independent mitotic spindle assembly in Drosophila S2 cells</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Animal mitotic spindle assembly relies on centrosome-dependent and centrosome-independent mechani...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Animal mitotic spindle assembly relies on centrosome-dependent and centrosome-independent mechanisms, but their relative contributions remain unknown. Here, we investigated the molecular basis of the centrosome-independent spindle assembly pathway by performing a whole-genome RNAi screen in Drosophila S2 cells lacking functional centrosomes. This screen identified 197 genes involved in acentrosomal spindle assembly, eight of which had no previously described mitotic phenotypes and produced defective and/or short spindles. All 197 genes also produced RNAi phenotypes when centrosomes were present, indicating that none were entirely selective for the acentrosomal pathway. However, a subset of genes produced a selective defect in pole focusing when centrosomes were absent, suggesting that centrosomes compensate for this shape defect. Another subset of genes was specifically associated with the formation of multipolar spindles only when centrosomes were present. We further show that the chromosomal passenger complex orchestrates multiple centrosome-independent processes required for mitotic spindle assembly/maintenance. On the other hand, despite the formation of a chromosome-enriched RanGTP gradient, S2 cells depleted of RCC1, the guanine-nucleotide exchange factor for Ran on chromosomes, established functional bipolar spindles. Finally, we show that cells without functional centrosomes have a delay in chromosome congression and anaphase onset, which can be explained by the lack of polar ejection forces. Overall, these findings establish the constitutive nature of a centrosome-independent spindle assembly program and how this program is adapted to the presence/absence of centrosomes in animal somatic cells.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911993"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911993"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911993; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911993]").text(description); $(".js-view-count[data-work-id=13911993]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13911993; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13911993']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13911993]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911993,"title":"Genes involved in centrosome-independent mitotic spindle assembly in Drosophila S2 cells","internal_url":"https://www.academia.edu/13911993/Genes_involved_in_centrosome_independent_mitotic_spindle_assembly_in_Drosophila_S2_cells","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911992"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13911992/A_feedforward_model_for_the_formation_of_a_grid_field_where_spatial_information_is_provided_solely_from_place_cells"><img alt="Research paper thumbnail of A feedforward model for the formation of a grid field where spatial information is provided solely from place cells" class="work-thumbnail" src="https://attachments.academia-assets.com/44810988/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13911992/A_feedforward_model_for_the_formation_of_a_grid_field_where_spatial_information_is_provided_solely_from_place_cells">A feedforward model for the formation of a grid field where spatial information is provided solely from place cells</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ipp.academia.edu/Lu%C3%ADsaCastro">Luísa Castro</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Grid cells (GCs) in the medial entorhinal cortex (mEC) have the property of having their firing a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Grid cells (GCs) in the medial entorhinal cortex (mEC) have the property of having their firing activity spatially tuned to a regular triangular lattice. Several theoretical models for grid field formation have been proposed, but most assume that place cells (PCs) are a product of the grid cell system. There is, however, an alternative possibility that is supported by various strands of experimental data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f1f36ad27d4f8d5baac73c9929acb1f2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44810988,"asset_id":13911992,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44810988/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911992"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911992"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911992; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911992]").text(description); $(".js-view-count[data-work-id=13911992]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13911992; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13911992']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f1f36ad27d4f8d5baac73c9929acb1f2" } } $('.js-work-strip[data-work-id=13911992]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13911992,"title":"A feedforward model for the formation of a grid field where spatial information is provided solely from place cells","internal_url":"https://www.academia.edu/13911992/A_feedforward_model_for_the_formation_of_a_grid_field_where_spatial_information_is_provided_solely_from_place_cells","owner_id":32980341,"coauthors_can_edit":true,"owner":{"id":32980341,"first_name":"Paulo","middle_initials":null,"last_name":"Aguiar","page_name":"PauloAguiar","domain_name":"up-pt","created_at":"2015-07-11T04:18:11.440-07:00","display_name":"Paulo Aguiar","url":"https://up-pt.academia.edu/PauloAguiar"},"attachments":[{"id":44810988,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/44810988/thumbnails/1.jpg","file_name":"A_feedforward_model_for_the_formation_of20160416-6659-qkiws3.pdf","download_url":"https://www.academia.edu/attachments/44810988/download_file","bulk_download_file_name":"A_feedforward_model_for_the_formation_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/44810988/A_feedforward_model_for_the_formation_of20160416-6659-qkiws3-libre.pdf?1460873083=\u0026response-content-disposition=attachment%3B+filename%3DA_feedforward_model_for_the_formation_of.pdf\u0026Expires=1740167813\u0026Signature=f8hJ6ZCi8pdp9s8MLymufmyCD~gUD-bfu-82B7gtbkD2OD3sCo6GsOv2JoQdGHlXYIX-KV3p38GFNC9DHz-pia7hDZOqgE5J~o0PGiwymUOjix5JSj9PWNYmZx4bfwRNQF~QZ4ZUHfNeqQ-LfERoJ9Vi4txyJUufW~AraDtphgMVwaY3Vik8QZjday0FvZ6AbLsRH~TkYBjy7ZXNWtJtuuMivzuT2rSv50xdvDR-FDib5KVvzwPc3f5IyxCoeGo6jSUs8OJ0IDxc7Gi8NYz9C0OpC-VR~0z1GAEjuaGvGBq5sxmgbJJIV6L-NRse309NGzu5TzRdmjkLP41pv-oH5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13911991"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13911991/Kinetochore_motors_drive_congression_of_peripheral_polar_chromosomes_by_overcoming_random_arm_ejection_forces"><img alt="Research paper thumbnail of Kinetochore motors drive congression of peripheral polar chromosomes by overcoming random arm-ejection forces" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13911991/Kinetochore_motors_drive_congression_of_peripheral_polar_chromosomes_by_overcoming_random_arm_ejection_forces">Kinetochore motors drive congression of peripheral polar chromosomes by overcoming random arm-ejection forces</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PauloAguiar">Paulo Aguiar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MarinBarisic">Marin Barisic</a></span></div><div class="wp-workCard_item"><span>Nature Cell Biology</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Accurate chromosome segregation during cell division in metazoans relies on proper chromosome con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Accurate chromosome segregation during cell division in metazoans relies on proper chromosome congression at the equator. Chromosome congression is achieved after bi-orientation to both spindle poles shortly after nuclear envelope breakdown, or by the coordinated action of motor proteins that slide misaligned chromosomes along pre-existing spindle microtubules. These proteins include the minus-end-directed kinetochore motor dynein, and the plus-end-directed motors CENP-E at kinetochores and chromokinesins on chromosome arms. However, how these opposite and spatially distinct activities are coordinated to drive chromosome congression remains unknown. Here we used RNAi, chemical inhibition, kinetochore tracking and laser microsurgery to uncover the functional hierarchy between kinetochore and arm-associated motors, exclusively required for congression of peripheral polar chromosomes in human cells. We show that dynein poleward force counteracts chromokinesins to prevent stabilization of immature/incorrect end-on kinetochore-microtubule attachments and random ejection of polar chromosomes. At the poles, CENP-E becomes dominant over dynein and chromokinesins to bias chromosome ejection towards the equator. Thus, dynein and CENP-E at kinetochores drive congression of peripheral polar chromosomes by preventing arm-ejection forces mediated by chromokinesins from working in the wrong direction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13911991"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13911991"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13911991; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13911991]").text(description); $(".js-view-count[data-work-id=13911991]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13911991; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13911991']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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