{"id":2134,"date":"2019-12-21T12:40:36","date_gmt":"2019-12-21T02:40:36","guid":{"rendered":"https:\/\/www.cognav.net\/?p=2134"},"modified":"2019-12-21T12:40:36","modified_gmt":"2019-12-21T02:40:36","slug":"what-could-be-the-computational-benefits-of-such-a-mapping-between-intrinsic-dynamical-structure-and-external-sensory-inputs-for-navigation-in-the-brain","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=2134","title":{"rendered":"What could be the computational benefits of such a mapping between intrinsic dynamical structure and external sensory inputs for navigation in the brain?"},"content":{"rendered":"<p style=\"text-align: justify;\">Christian Leibold. <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2019.12.18.880583v1\">A Model for Navigation in Unknown Environments Based on a Reservoir of Hippocampal Sequences<\/a>.\u00a0<br \/>\nbioRxiv 2019.12.18.880583; doi: https:\/\/doi.org\/10.1101\/2019.12.18.880583<\/p>\n<p style=\"text-align: justify;\">Abstract<br \/>\n&#8220;Hippocampal place cell populations are activated in sequences on multiple time scales during active behavior, resting and sleep states, suggesting that these sequences are the genuine dynamical motifs of the hippocampal circuit. Recently, <strong><span style=\"color: #ff0000;\">prewired hippocampal place cell sequences have even been reported to correlate to future behaviors, but so far there is no explanation of what could be the computational benefits of such a mapping between intrinsic dynamical structure and external sensory inputs<\/span><\/strong>. Here, I propose <span style=\"color: #ff0000;\"><strong>a computational model<\/strong> <\/span>in which a set of <strong><span style=\"color: #ff0000;\">predefined internal sequences is used as a dynamical reservoir to construct a spatial map of a large unknown maze based on only a small number of salient landmarks<\/span><\/strong>. The model is based on a new variant of temporal difference learning and <strong><span style=\"color: #ff0000;\">implements a simultaneous localization and mapping algorithm<\/span><\/strong>. As a result sequences during intermittent replay periods can be decoded as spatial trajectories and <strong><span style=\"color: #ff0000;\">improve navigation performance<\/span><\/strong>, which <span style=\"color: #ff0000;\"><strong>supports the functional interpretation of replay to consolidate memories of motor actions<\/strong><\/span>.&#8221;<\/p>\n<p style=\"text-align: justify;\">Christian Leibold. <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2019.12.18.880583v1\">A Model for Navigation in Unknown Environments Based on a Reservoir of Hippocampal Sequences<\/a>.\u00a0<br \/>\nbioRxiv 2019.12.18.880583; doi: https:\/\/doi.org\/10.1101\/2019.12.18.880583<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Christian Leibold. A Model for Navigation in Unknown Environments Based on a Reservoir of Hippocampal Sequences.\u00a0 bioRxiv 2019.12.18.880583; doi: https:\/\/doi.org\/10.1101\/2019.12.18.880583 Abstract &#8220;Hippocampal place cell populations are activated in sequences on multiple time scales during active behavior, resting and sleep states, suggesting that these sequences are the genuine dynamical motifs of the hippocampal circuit. Recently, prewired [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[114,96,346],"tags":[625,624,622,85,623,104,64],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2134"}],"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=2134"}],"version-history":[{"count":1,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2134\/revisions"}],"predecessor-version":[{"id":2135,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2134\/revisions\/2135"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2134"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2134"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}