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An integrated microcircuit model of attentional processing in the neocortex | Lab of Natural and Designed Intelligence
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To address these questions, we investigated a biophysically based network model of spiking neurons composed of a reciprocally connected loop of two (sensory and working memory) networks. We found that a wide variety of physiological phenomena induced by selective attention arise naturally in such a system. In particular, our work demonstrates a neural circuit that instantiates the "feature-similarity gain modulation principle," according to which the attentional gain effect on sensory neuronal responses is a graded function of the difference between the attended feature and the preferred feature of the neuron, independent of the stimulus. Furthermore, our model identifies key circuit mechanisms that underlie feature-similarity gain modulation, multiplicative scaling of tuning curve, and biased competition, and provide specific testable predictions. These results offer a synthetic account of the diverse attentional effects, suggesting a canonical neural circuit for feature-based attentional processing in the cortex."> <link rel="alternate" hreflang="en-us" href="https://LofNaDI.github.io/publication/ardid-2007/"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> <meta name="theme-color" content="rgb(82, 161, 206)"> <script src="/js/mathjax-config.js"></script> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.14.0/css/all.min.css" integrity="sha256-FMvZuGapsJLjouA6k7Eo2lusoAX9i0ShlWFG6qt7SLc=" crossorigin="anonymous"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.css" integrity="sha256-Vzbj7sDDS/woiFS3uNKo8eIuni59rjyNGtXfstRzStA=" crossorigin="anonymous"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/styles/github.min.css" crossorigin="anonymous" title="hl-light"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/styles/github.min.css" crossorigin="anonymous" title="hl-dark" disabled> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.7.1/leaflet.min.css" integrity="sha512-1xoFisiGdy9nvho8EgXuXvnpR5GAMSjFwp40gSRE3NwdUdIMIKuPa7bqoUhLD0O/5tPNhteAsE5XyyMi5reQVA==" crossorigin="anonymous"> <script src="https://cdnjs.cloudflare.com/ajax/libs/lazysizes/5.2.2/lazysizes.min.js" integrity="sha512-TmDwFLhg3UA4ZG0Eb4MIyT1O1Mb+Oww5kFG0uHqXsdbyZz9DcvYQhKpGgNkamAI6h2lGGZq2X8ftOJvF/XjTUg==" crossorigin="anonymous" async></script> <script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-chtml.js" integrity="" crossorigin="anonymous" async></script> <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Rambla:400,700,400italic,700italic%7CFira+Mono:400,500,700&display=swap"> <link rel="stylesheet" href="/css/wowchemy.min.db8a07c568f8a1d27b1c6f17e32e26a9.css"> <link rel="manifest" href="/index.webmanifest"> <link rel="icon" type="image/png" href="/images/icon_hu51bc7776438b23ec3e2baa9fc0ae64dd_101211_32x32_fill_lanczos_center_3.png"> <link rel="apple-touch-icon" type="image/png" href="/images/icon_hu51bc7776438b23ec3e2baa9fc0ae64dd_101211_192x192_fill_lanczos_center_3.png"> <link rel="canonical" href="https://LofNaDI.github.io/publication/ardid-2007/"> <meta property="twitter:card" content="summary"> <meta property="og:site_name" content="Lab of Natural and Designed Intelligence"> <meta property="og:url" content="https://LofNaDI.github.io/publication/ardid-2007/"> <meta property="og:title" content="An integrated microcircuit model of attentional processing in the neocortex | Lab of Natural and Designed Intelligence"> <meta property="og:description" content="Selective attention is a fundamental cognitive function that uses top-down signals to orient and prioritize information processing in the brain. Single-cell recordings from behaving monkeys have revealed a number of attention-induced effects on sensory neurons, and have given rise to contrasting viewpoints about the neural underpinning of attentive processing. Moreover, there is evidence that attentional signals originate from the prefrontoparietal working memory network, but precisely how a source area of attention interacts with a sensory system remains unclear. To address these questions, we investigated a biophysically based network model of spiking neurons composed of a reciprocally connected loop of two (sensory and working memory) networks. We found that a wide variety of physiological phenomena induced by selective attention arise naturally in such a system. In particular, our work demonstrates a neural circuit that instantiates the "feature-similarity gain modulation principle," according to which the attentional gain effect on sensory neuronal responses is a graded function of the difference between the attended feature and the preferred feature of the neuron, independent of the stimulus. Furthermore, our model identifies key circuit mechanisms that underlie feature-similarity gain modulation, multiplicative scaling of tuning curve, and biased competition, and provide specific testable predictions. These results offer a synthetic account of the diverse attentional effects, suggesting a canonical neural circuit for feature-based attentional processing in the cortex."><meta property="og:image" content="https://LofNaDI.github.io/images/icon_hu51bc7776438b23ec3e2baa9fc0ae64dd_101211_512x512_fill_lanczos_center_3.png"> <meta property="twitter:image" content="https://LofNaDI.github.io/images/icon_hu51bc7776438b23ec3e2baa9fc0ae64dd_101211_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"> <meta property="article:published_time" content="2020-02-13T16:52:11+00:00"> <meta property="article:modified_time" content="2023-01-26T11:51:13+01:00"> <script type="application/ld+json"> { "@context": "https://schema.org", "@type": "Article", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://LofNaDI.github.io/publication/ardid-2007/" }, "headline": "An integrated microcircuit model of attentional processing in the neocortex", "datePublished": "2020-02-13T16:52:11Z", "dateModified": "2023-01-26T11:51:13+01:00", "author": { "@type": "Person", "name": "S. Ardid" }, "publisher": { "@type": "Organization", "name": "Lab of Natural and Designed Intelligence", "logo": { "@type": "ImageObject", "url": "https://LofNaDI.github.io/images/icon_hu51bc7776438b23ec3e2baa9fc0ae64dd_101211_192x192_fill_lanczos_center_3.png" } }, "description": "Selective attention is a fundamental cognitive function that uses top-down signals to orient and prioritize information processing in the brain. Single-cell recordings from behaving monkeys have revealed a number of attention-induced effects on sensory neurons, and have given rise to contrasting viewpoints about the neural underpinning of attentive processing. Moreover, there is evidence that attentional signals originate from the prefrontoparietal working memory network, but precisely how a source area of attention interacts with a sensory system remains unclear. To address these questions, we investigated a biophysically based network model of spiking neurons composed of a reciprocally connected loop of two (sensory and working memory) networks. We found that a wide variety of physiological phenomena induced by selective attention arise naturally in such a system. In particular, our work demonstrates a neural circuit that instantiates the \"feature-similarity gain modulation principle,\" according to which the attentional gain effect on sensory neuronal responses is a graded function of the difference between the attended feature and the preferred feature of the neuron, independent of the stimulus. Furthermore, our model identifies key circuit mechanisms that underlie feature-similarity gain modulation, multiplicative scaling of tuning curve, and biased competition, and provide specific testable predictions. These results offer a synthetic account of the diverse attentional effects, suggesting a canonical neural circuit for feature-based attentional processing in the cortex." } </script> <title>An integrated microcircuit model of attentional processing in the neocortex | Lab of Natural and Designed Intelligence</title> </head> <body id="top" data-spy="scroll" data-offset="70" data-target="#TableOfContents" class="page-wrapper "> <script src="/js/wowchemy-init.js"></script> <aside class="search-results" id="search"> <div class="container"> <section class="search-header"> <div class="row no-gutters justify-content-between mb-3"> <div class="col-6"> <h1>Search</h1> </div> <div class="col-6 col-search-close"> <a class="js-search" href="#"><i class="fas fa-times-circle text-muted" aria-hidden="true"></i></a> </div> </div> <div id="search-box"> <input name="q" id="search-query" placeholder="Search..." autocapitalize="off" autocomplete="off" autocorrect="off" spellcheck="false" type="search" class="form-control"> </div> </section> <section class="section-search-results"> <div id="search-hits"> </div> </section> </div> </aside> <div class="page-header"> <nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id="navbar-main"> <div class="container"> <div class="d-none d-lg-inline-flex"> <a class="navbar-brand" href="/">Lab of Natural and Designed Intelligence</a> </div> <button type="button" class="navbar-toggler" data-toggle="collapse" data-target="#navbar-content" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation"> <span><i class="fas fa-bars"></i></span> </button> <div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"> <a class="navbar-brand" href="/">Lab of Natural and Designed Intelligence</a> </div> <div class="navbar-collapse main-menu-item collapse justify-content-start" id="navbar-content"> <ul class="navbar-nav d-md-inline-flex"> <li class="nav-item"> <a class="nav-link " href="/#wimage"><span>Home</span></a> </li> <li class="nav-item"> <a class="nav-link " href="/#description"><span>Description</span></a> </li> <li class="nav-item"> <a class="nav-link " href="/#people"><span>Meet the Team</span></a> </li> <li class="nav-item"> <a class="nav-link " href="/#projects"><span>Research</span></a> </li> <li class="nav-item"> <a class="nav-link " href="/#featured"><span>Publications</span></a> </li> <li class="nav-item"> <a class="nav-link " href="/#contact"><span>Contact</span></a> </li> <li class="nav-item"> <a class="nav-link " href="https://github.com/LofNaDI" target="_blank" rel="noopener"><span>GitHub site</span></a> </li> </ul> </div> <ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"> <li class="nav-item"> <a class="nav-link js-search" href="#" aria-label="Search"><i class="fas fa-search" aria-hidden="true"></i></a> </li> </ul> </div> </nav> </div> <div class="page-body"> <div class="pub"> <div class="article-container pt-3"> <h1>An integrated microcircuit model of attentional processing in the neocortex</h1> <div class="article-metadata"> <div> </div> <span class="article-date"> August 2007 </span> </div> <div class="btn-links mb-3"> <button type="button" class="btn btn-outline-primary my-1 mr-1 js-cite-modal" data-filename="/publication/ardid-2007/cite.bib"> Cite </button> </div> </div> <div class="article-container"> <h3>Abstract</h3> <p class="pub-abstract">Selective attention is a fundamental cognitive function that uses top-down signals to orient and prioritize information processing in the brain. Single-cell recordings from behaving monkeys have revealed a number of attention-induced effects on sensory neurons, and have given rise to contrasting viewpoints about the neural underpinning of attentive processing. Moreover, there is evidence that attentional signals originate from the prefrontoparietal working memory network, but precisely how a source area of attention interacts with a sensory system remains unclear. To address these questions, we investigated a biophysically based network model of spiking neurons composed of a reciprocally connected loop of two (sensory and working memory) networks. We found that a wide variety of physiological phenomena induced by selective attention arise naturally in such a system. In particular, our work demonstrates a neural circuit that instantiates the “feature-similarity gain modulation principle,” according to which the attentional gain effect on sensory neuronal responses is a graded function of the difference between the attended feature and the preferred feature of the neuron, independent of the stimulus. Furthermore, our model identifies key circuit mechanisms that underlie feature-similarity gain modulation, multiplicative scaling of tuning curve, and biased competition, and provide specific testable predictions. These results offer a synthetic account of the diverse attentional effects, suggesting a canonical neural circuit for feature-based attentional processing in the cortex.</p> <div class="row"> <div class="col-md-1"></div> <div class="col-md-10"> <div class="row"> <div class="col-12 col-md-3 pub-row-heading">Type</div> <div class="col-12 col-md-9"> <a href="/publication/#2"> Journal article </a> </div> </div> </div> <div class="col-md-1"></div> </div> <div class="d-md-none space-below"></div> <div class="row"> <div class="col-md-1"></div> <div class="col-md-10"> <div class="row"> <div class="col-12 col-md-3 pub-row-heading">Publication</div> <div class="col-12 col-md-9">Journal of Neuroscience</div> </div> </div> <div class="col-md-1"></div> </div> <div class="d-md-none space-below"></div> <div class="space-below"></div> <div class="article-style"></div> </div> </div> </div> <div class="page-footer"> <div class="container"> <footer class="site-footer"> <p class="powered-by"> <a href="/privacy/">Privacy Policy</a> · <a href="/terms/">Terms</a> </p> <p class="powered-by"> Copyright Salva Ardid </p> <p class="powered-by"> Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target="_blank" rel="noopener">Wowchemy</a> — the free, <a href="https://github.com/wowchemy/wowchemy-hugo-modules" target="_blank" rel="noopener"> open source</a> website builder that empowers creators. </p> </footer> </div> </div> <div id="modal" class="modal fade" role="dialog"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title">Cite</h5> <button type="button" class="close" data-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <pre><code class="tex hljs"></code></pre> </div> <div class="modal-footer"> <a class="btn btn-outline-primary my-1 js-copy-cite" href="#" target="_blank"> <i class="fas fa-copy"></i> Copy </a> <a class="btn btn-outline-primary my-1 js-download-cite" href="#" target="_blank"> <i class="fas fa-download"></i> Download </a> <div id="modal-error"></div> </div> </div> </div> </div> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.5.1/jquery.min.js" integrity="sha256-9/aliU8dGd2tb6OSsuzixeV4y/faTqgFtohetphbbj0=" crossorigin="anonymous"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery.imagesloaded/4.1.4/imagesloaded.pkgd.min.js" integrity="sha256-lqvxZrPLtfffUl2G/e7szqSvPBILGbwmsGE1MKlOi0Q=" crossorigin="anonymous"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery.isotope/3.0.6/isotope.pkgd.min.js" integrity="sha256-CBrpuqrMhXwcLLUd5tvQ4euBHCdh7wGlDfNz8vbu/iI=" crossorigin="anonymous"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.js" integrity="sha256-yt2kYMy0w8AbtF89WXb2P1rfjcP/HTHLT7097U8Y5b8=" crossorigin="anonymous"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/instant.page/5.1.0/instantpage.min.js" integrity="sha512-1+qUtKoh9XZW7j+6LhRMAyOrgSQKenQ4mluTR+cvxXjP1Z54RxZuzstR/H9kgPXQsVB8IW7DMDFUJpzLjvhGSQ==" crossorigin="anonymous"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/highlight.min.js" integrity="sha512-TDKKr+IvoqZnPzc3l35hdjpHD0m+b2EC2SrLEgKDRWpxf2rFCxemkgvJ5kfU48ip+Y+m2XVKyOCD85ybtlZDmw==" crossorigin="anonymous"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/languages/bash.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/languages/c++.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/languages/latex.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/languages/matlab.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/languages/python.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/languages/r.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.7.1/leaflet.min.js" integrity="sha512-SeiQaaDh73yrb56sTW/RgVdi/mMqNeM2oBwubFHagc5BkixSpP1fvqF47mKzPGWYSSy4RwbBunrJBQ4Co8fRWA==" crossorigin="anonymous"></script> <script>const code_highlighting = true;</script> <script> const search_config = {"indexURI":"/index.json","minLength":1,"threshold":0.3}; 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