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Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities | Lab of Natural and Designed Intelligence

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Here, we consider persistent activity in a detailed, strongly data-driven network model of the prefrontal cortex with heterogeneous neuron and synapse parameters. Surprisingly, persistent activity could not be reproduced in this model without incorporating further constraints. We identified three factors that prevent successful persistent activity: heterogeneity in the cell parameters of interneurons, heterogeneity in the parameters of short-term synaptic plasticity and heterogeneity in the synaptic weights. We also discovered a general dynamic mechanism that prevents persistent activity in the presence of heterogeneities, namely a gradual drop-out of cell assembly neurons out of a bistable regime as input variability increases. Based on this mechanism, we found that persistent activity is recovered if heterogeneity is compensated, e.g., by a homeostatic plasticity mechanism. Cell assemblies shaped in this way may be potentially targeted by distinct inputs or become more responsive to specific tuning or spectral properties. Finally, we show that persistent activity in the model is robust against external noise, but the compensation of heterogeneities may prevent the dynamic generation of intrinsic in vivo-like irregular activity. These results may help informing the ongoing debate about the neural basis of working memory."> <link rel="alternate" hreflang="en-us" href="https://LofNaDI.github.io/publication/hass-2022-constraints/"> <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/hass-2022-constraints/"> <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/hass-2022-constraints/"> <meta property="og:title" content="Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities | Lab of Natural and Designed Intelligence"> <meta property="og:description" content="Persistent activity, the maintenance of neural activation over short periods of time in cortical networks, is widely thought to underlie the cognitive function of working memory. A large body of modeling studies has reproduced this kind of activity using cell assemblies with strengthened synaptic connections. However, almost all of these studies have considered persistent activity within networks with homogeneous neurons and synapses, making it difficult to judge the validity of such model results for cortical dynamics, which is based on highly heterogeneous neurons. Here, we consider persistent activity in a detailed, strongly data-driven network model of the prefrontal cortex with heterogeneous neuron and synapse parameters. Surprisingly, persistent activity could not be reproduced in this model without incorporating further constraints. We identified three factors that prevent successful persistent activity: heterogeneity in the cell parameters of interneurons, heterogeneity in the parameters of short-term synaptic plasticity and heterogeneity in the synaptic weights. We also discovered a general dynamic mechanism that prevents persistent activity in the presence of heterogeneities, namely a gradual drop-out of cell assembly neurons out of a bistable regime as input variability increases. Based on this mechanism, we found that persistent activity is recovered if heterogeneity is compensated, e.g., by a homeostatic plasticity mechanism. Cell assemblies shaped in this way may be potentially targeted by distinct inputs or become more responsive to specific tuning or spectral properties. Finally, we show that persistent activity in the model is robust against external noise, but the compensation of heterogeneities may prevent the dynamic generation of intrinsic in vivo-like irregular activity. These results may help informing the ongoing debate about the neural basis of working memory."><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="2022-05-06T00:00:00&#43;00:00"> <meta property="article:modified_time" content="2023-01-24T13:07:55&#43;01:00"> <script type="application/ld+json"> { "@context": "https://schema.org", "@type": "Article", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://LofNaDI.github.io/publication/hass-2022-constraints/" }, "headline": "Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities", "datePublished": "2022-05-06T00:00:00Z", "dateModified": "2023-01-24T13:07:55+01:00", "author": { "@type": "Person", "name": "J. Hass" }, "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": "Persistent activity, the maintenance of neural activation over short periods of time in cortical networks, is widely thought to underlie the cognitive function of working memory. A large body of modeling studies has reproduced this kind of activity using cell assemblies with strengthened synaptic connections. However, almost all of these studies have considered persistent activity within networks with homogeneous neurons and synapses, making it difficult to judge the validity of such model results for cortical dynamics, which is based on highly heterogeneous neurons. Here, we consider persistent activity in a detailed, strongly data-driven network model of the prefrontal cortex with heterogeneous neuron and synapse parameters. Surprisingly, persistent activity could not be reproduced in this model without incorporating further constraints. We identified three factors that prevent successful persistent activity: heterogeneity in the cell parameters of interneurons, heterogeneity in the parameters of short-term synaptic plasticity and heterogeneity in the synaptic weights. We also discovered a general dynamic mechanism that prevents persistent activity in the presence of heterogeneities, namely a gradual drop-out of cell assembly neurons out of a bistable regime as input variability increases. Based on this mechanism, we found that persistent activity is recovered if heterogeneity is compensated, e.g., by a homeostatic plasticity mechanism. Cell assemblies shaped in this way may be potentially targeted by distinct inputs or become more responsive to specific tuning or spectral properties. Finally, we show that persistent activity in the model is robust against external noise, but the compensation of heterogeneities may prevent the dynamic generation of intrinsic in vivo-like irregular activity. These results may help informing the ongoing debate about the neural basis of working memory." } </script> <title>Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities | 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>Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities</h1> <div class="article-metadata"> <div> </div> <span class="article-date"> May 2022 </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/hass-2022-constraints/cite.bib"> Cite </button> </div> </div> <div class="article-container"> <h3>Abstract</h3> <p class="pub-abstract">Persistent activity, the maintenance of neural activation over short periods of time in cortical networks, is widely thought to underlie the cognitive function of working memory. A large body of modeling studies has reproduced this kind of activity using cell assemblies with strengthened synaptic connections. However, almost all of these studies have considered persistent activity within networks with homogeneous neurons and synapses, making it difficult to judge the validity of such model results for cortical dynamics, which is based on highly heterogeneous neurons. Here, we consider persistent activity in a detailed, strongly data-driven network model of the prefrontal cortex with heterogeneous neuron and synapse parameters. Surprisingly, persistent activity could not be reproduced in this model without incorporating further constraints. We identified three factors that prevent successful persistent activity: heterogeneity in the cell parameters of interneurons, heterogeneity in the parameters of short-term synaptic plasticity and heterogeneity in the synaptic weights. We also discovered a general dynamic mechanism that prevents persistent activity in the presence of heterogeneities, namely a gradual drop-out of cell assembly neurons out of a bistable regime as input variability increases. Based on this mechanism, we found that persistent activity is recovered if heterogeneity is compensated, e.g., by a homeostatic plasticity mechanism. Cell assemblies shaped in this way may be potentially targeted by distinct inputs or become more responsive to specific tuning or spectral properties. Finally, we show that persistent activity in the model is robust against external noise, but the compensation of heterogeneities may prevent the dynamic generation of intrinsic in vivo-like irregular activity. These results may help informing the ongoing debate about the neural basis of working memory.</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">Progress in Neurobiology</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> &middot; <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">&times;</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&#43;&#43;.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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