{"id":2919,"date":"2023-12-05T11:17:53","date_gmt":"2023-12-05T01:17:53","guid":{"rendered":"https:\/\/www.cognav.net\/?p=2919"},"modified":"2023-12-05T11:17:53","modified_gmt":"2023-12-05T01:17:53","slug":"how-to-build-a-dynamic-attractor-network-model-of-memory-formation-reinforcement-and-forgetting","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=2919","title":{"rendered":"How to build a dynamic attractor network model of memory formation, reinforcement and forgetting?"},"content":{"rendered":"<p style=\"text-align: justify;\">Marta Boscaglia, Chiara Gastaldi, Wulfram Gerstner, Rodrigo Quian Quiroga. <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2023.12.01.569560v1\"><strong>A dynamic attractor network model of memory formation, reinforcement and forgetting<\/strong><\/a>. bioRxiv 2023.12.01.569560; doi: https:\/\/doi.org\/10.1101\/2023.12.01.569560<\/p>\n<p style=\"text-align: justify;\">Abstract<br \/>\n&#8220;Empirical evidence shows that <strong><span style=\"color: #ff0000;\">memories that are frequently revisited are easy to recall<\/span><\/strong>, and that familiar items involve larger hippocampal representations than less familiar ones. In line with these observations, here <strong><span style=\"color: #ff0000;\">we develop a modelling approach to provide a mechanistic hypothesis of how hippocampal neural assemblies evolve differently, depending on the frequency of presentation of the stimuli<\/span><\/strong>. For this, <strong><span style=\"color: #ff0000;\">we added an online Hebbian learning rule, background firing activity, neural adaptation and heterosynaptic plasticity to a rate attractor network model,<\/span><\/strong> thus<strong><span style=\"color: #ff0000;\"> creating dynamic memory representations that can persist,<\/span> <\/strong>increase or fade according to the frequency of presentation of the corresponding memory patterns. Specifically, we show that a dynamic interplay between Hebbian learning and background firing activity can explain the relationship between the memory assembly sizes and their frequency of stimulation. Frequently stimulated assemblies increase their size independently from each other (i.e. creating orthogonal representations that do not share neurons, thus avoiding interference). Importantly, connections between neurons of assemblies that are not further stimulated become labile so that these neurons can be recruited by other assemblies, <strong><span style=\"color: #ff0000;\">providing a neuronal mechanism of forgetting<\/span><\/strong>.&#8221;<\/p>\n<p style=\"text-align: justify;\">Marta Boscaglia, Chiara Gastaldi, Wulfram Gerstner, Rodrigo Quian Quiroga. <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2023.12.01.569560v1\"><strong>A dynamic attractor network model of memory formation, reinforcement and forgetting<\/strong><\/a>. bioRxiv 2023.12.01.569560; doi: https:\/\/doi.org\/10.1101\/2023.12.01.569560<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Marta Boscaglia, Chiara Gastaldi, Wulfram Gerstner, Rodrigo Quian Quiroga. A dynamic attractor network model of memory formation, reinforcement and forgetting. bioRxiv 2023.12.01.569560; doi: https:\/\/doi.org\/10.1101\/2023.12.01.569560 Abstract &#8220;Empirical evidence shows that memories that are frequently revisited are easy to recall, and that familiar items involve larger hippocampal representations than less familiar ones. In line with these observations, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[636,346,519],"tags":[1278,1280,675,1279],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2919"}],"collection":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2919"}],"version-history":[{"count":1,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2919\/revisions"}],"predecessor-version":[{"id":2920,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2919\/revisions\/2920"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}