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ds2-5-body-link" data-author-id="540149" href="https://indiana.academia.edu/RaymundoMunguiaVazquez">Raymundo Munguia-Vazquez</a></div><p class="ds-related-work--metadata ds2-5-body-xs">PloS one, 2011</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Comparison of LFP-Based and Spike-Based Spectro-Temporal Receptive Fields and Cross-Correlation in Cat Primary Auditory Cortex","attachmentId":4159791,"attachmentType":"pdf","work_url":"https://www.academia.edu/730002/Comparison_of_LFP_Based_and_Spike_Based_Spectro_Temporal_Receptive_Fields_and_Cross_Correlation_in_Cat_Primary_Auditory_Cortex","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline 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class="ds-related-work--metadata ds2-5-body-xs">Journal of Neurophysiology, 2005</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"LFP power spectra in V1 cortex: the graded effect of stimulus contrast","attachmentId":51018370,"attachmentType":"pdf","work_url":"https://www.academia.edu/1348749/LFP_power_spectra_in_V1_cortex_the_graded_effect_of_stimulus_contrast","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/1348749/LFP_power_spectra_in_V1_cortex_the_graded_effect_of_stimulus_contrast"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="73150049" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/73150049/Two_frequency_bands_contain_the_most_stimulus_related_information_in_visual_cortex">Two frequency bands contain the most stimulus-related information in visual cortex</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="121512943" href="https://independent.academia.edu/DeWeerdP">Peter De Weerd</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2016</p><p class="ds-related-work--abstract ds2-5-body-sm">Sensory cortices represent the world through the activity of diversely tuned cells. How the activity of single cells is coordinated within populations and across sensory hierarchies is largely unknown. Cortical oscillations may coordinate local and distributed neuronal groups. Using datasets from intracortical multi-electrode recordings and from large-scale electrocorticography (ECoG) grids, we investigated how visual features could be extracted from the local field potential (LFP) and how this compared with the information available from multi-unit activity (MUA). MUA recorded from macaque V1 contained comparable amounts of information as simultaneously recorded LFP power in two frequency bands, one in the alpha-beta band and the other in the gamma band. ECoG-LFP contained information in the same bands as microelectrode-LFP, even when identifying natural scenes. The fact that information was contained in the same bands in both intracortical and ECoG recordings suggests that oscilla...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Two frequency bands contain the most stimulus-related information in visual cortex","attachmentId":81782349,"attachmentType":"pdf","work_url":"https://www.academia.edu/73150049/Two_frequency_bands_contain_the_most_stimulus_related_information_in_visual_cortex","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/73150049/Two_frequency_bands_contain_the_most_stimulus_related_information_in_visual_cortex"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="47888986" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/47888986/LFP_spectral_peaks_in_V1_cortex_network_resonance_and_cortico_cortical_feedback">LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="38191640" href="https://independent.academia.edu/RobertShapley">Robert Shapley</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Journal of Computational Neuroscience, 2010</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback","attachmentId":66783079,"attachmentType":"pdf","work_url":"https://www.academia.edu/47888986/LFP_spectral_peaks_in_V1_cortex_network_resonance_and_cortico_cortical_feedback","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/47888986/LFP_spectral_peaks_in_V1_cortex_network_resonance_and_cortico_cortical_feedback"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="1543877" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/1543877/Predicting_Spike_Occurrence_and_Neuronal_Responsiveness_from_LFPs_in_Primary_Somatosensory_Cortex">Predicting Spike Occurrence and Neuronal Responsiveness from LFPs in Primary Somatosensory Cortex</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="324575" href="https://cnr-it.academia.edu/AntonioGiulianoZippo">Antonio Giuliano Zippo</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Local Field Potentials (LFPs) integrate multiple neuronal events like synaptic inputs and intracellular potentials. LFP spatiotemporal features are particularly relevant in view of their applications both in research (e.g. for understanding brain rhythms, inter-areal neural communication and neronal coding) and in the clinics (e.g. for improving invasive Brain-Machine Interface devices). However the relation between LFPs and spikes is complex and not fully understood. As spikes represent the fundamental currency of neuronal communication this gap in knowledge strongly limits our comprehension of neuronal phenomena underlying LFPs. We investigated the LFP-spike relation during tactile stimulation in primary somatosensory (S-I) cortex in the rat. First we quantified how reliably LFPs and spikes code for a stimulus occurrence. Then we used the information obtained from our analyses to design a predictive model for spike occurrence based on LFP inputs. The model was endowed with a flexible meta-structure whose exact form, both in parameters and structure, was estimated by using a multi-objective optimization strategy. Our method provided a set of nonlinear simple equations that maximized the match between models and true neurons in terms of spike timings and Peri Stimulus Time Histograms. We found that both LFPs and spikes can code for stimulus occurrence with millisecond precision, showing, however, high variability. Spike patterns were predicted significantly above chance for 75% of the neurons analysed. Crucially, the level of prediction accuracy depended on the reliability in coding for the stimulus occurrence. The best predictions were obtained when both spikes and LFPs were highly responsive to the stimuli. Spike reliability is known to depend on neuron intrinsic properties (i.e. on channel noise) and on spontaneous local network fluctuations. Our results suggest that the latter, measured through the LFP response variability, play a dominant role.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Predicting Spike Occurrence and Neuronal Responsiveness from LFPs in Primary Somatosensory Cortex","attachmentId":30996137,"attachmentType":"pdf","work_url":"https://www.academia.edu/1543877/Predicting_Spike_Occurrence_and_Neuronal_Responsiveness_from_LFPs_in_Primary_Somatosensory_Cortex","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/1543877/Predicting_Spike_Occurrence_and_Neuronal_Responsiveness_from_LFPs_in_Primary_Somatosensory_Cortex"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="482417" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/482417/Feature_selectivity_of_the_gamma_band_of_the_local_field_potential_in_primate_primary_visual_cortex">Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="272708" href="https://antwerp.academia.edu/GeorgiosKeliris">Georgios A Keliris</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Frontiers in …, 2008</p><p class="ds-related-work--abstract ds2-5-body-sm">Extracellular voltage fluctuations (local field potentials, LFPs) reflecting neural mass action are ubiquitous across species and brain regions. Numerous studies have characterized the properties of LFP signals in the cortex to study sensory and motor computations as well as cognitive processes like attention, perception and memory. In addition, its extracranial counterpart – the electroencephalogram – is widely used in clinical applications. However, the link between LFP signals and the underlying activity of local populations of neurons remains largely elusive. Here, we review recent work elucidating the relationship between spiking activity of local neural populations and LFP signals. We focus on oscillations in the gamma-band (30–90 Hz) of the LFP in the primary visual cortex (V1) of the macaque that dominate during visual stimulation. Given that in area V1 much is known about the properties of single neurons and the cortical architecture, it provides an excellent opportunity to study the mechanisms underlying the generation of the LFP.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex","attachmentId":51391107,"attachmentType":"pdf","work_url":"https://www.academia.edu/482417/Feature_selectivity_of_the_gamma_band_of_the_local_field_potential_in_primate_primary_visual_cortex","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" 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Sanchez-Vives</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Cerebral Cortex, 1997</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Influence of Low and High Frequency Inputs on Spike Timing In Visual Cortical Neurons","attachmentId":30914305,"attachmentType":"pdf","work_url":"https://www.academia.edu/1058737/Influence_of_Low_and_High_Frequency_Inputs_on_Spike_Timing_In_Visual_Cortical_Neurons","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-related-work-grid-card-view-pdf" href="https://www.academia.edu/1058737/Influence_of_Low_and_High_Frequency_Inputs_on_Spike_Timing_In_Visual_Cortical_Neurons"><span 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data-entity-id="48268326" data-sort-order="default"><a class="ds-related-work--title js-related-work-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/48268326/No_Consistent_Relationship_between_Gamma_Power_and_Peak_Frequency_in_Macaque_Primary_Visual_Cortex">No Consistent Relationship between Gamma Power and Peak Frequency in Macaque Primary Visual Cortex</a><div class="ds-related-work--metadata"><a class="js-related-work-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="146652062" href="https://independent.academia.edu/XiaoxuanJia">Xiaoxuan Jia</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Journal of Neuroscience, 2013</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"No Consistent Relationship between Gamma Power and Peak Frequency in Macaque Primary Visual 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