{"id":1818,"date":"2019-04-14T16:12:55","date_gmt":"2019-04-14T06:12:55","guid":{"rendered":"https:\/\/www.cognav.net\/?p=1818"},"modified":"2019-04-14T16:21:22","modified_gmt":"2019-04-14T06:21:22","slug":"how-grid-cells-could-possibly-organize","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=1818","title":{"rendered":"How grid cells could possibly organize?"},"content":{"rendered":"<p>Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, and Lorenzo Rosasco. &#8220;<a href=\"https:\/\/arxiv.org\/abs\/1902.06553\"><strong>A computational model for grid maps in neural populations<\/strong><\/a>.&#8221; arXiv preprint arXiv:1902.06553 (2019).<\/p>\n<p style=\"text-align: justify;\">The following content is extracted from\u00a0Anselmi 2019.<\/p>\n<p style=\"text-align: justify;\">Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, and Lorenzo Rosasco. &#8220;<a href=\"https:\/\/arxiv.org\/abs\/1902.06553\"><strong>A computational model for grid maps in neural populations<\/strong><\/a>.&#8221; arXiv preprint arXiv:1902.06553 (2019).<\/p>\n<p style=\"text-align: justify;\">Since their discovery in 2005 grid cells have played a key-role in understanding <span style=\"color: red;\"><strong>how different species&#8217; brains dynamically represent an animal&#8217;s position in space<\/strong><\/span>. Despite more then a decade of interest from a large number of investigators<span style=\"color: red;\"><strong>, a universally accepted model of how grid cells receptive fields emerge is still lacking<\/strong><\/span>.<\/p>\n<p style=\"text-align: justify;\">In this study Anselmi et al. 2019 <span style=\"color: red;\"><strong>provides a new and simple theoretical and computational framework to explain how grid cells could possibly organize<\/strong><\/span>. We propose a novel formulation of the encoding problem through the modern Frame Theory language, providing new insights about the optimality of hexagonal grid receptive fields and <span style=\"color: red;\"><strong>overcoming some crucial limitations of the current attractor and oscillatory models<\/strong><\/span>. Moreover, they demonstrate that <span style=\"color: red;\"><strong>this same encoding strategy can generalize from spatial to more abstract information<\/strong><\/span>.<\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" src=\"https:\/\/www.braininspirednavigation.com\/wp-content\/uploads\/2019\/04\/041419_0458_Howgridcell1.png\" alt=\"\" \/><\/p>\n<p style=\"text-align: center;\">Fig from Anselmi et al. 2019.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">For further info, please read the paper Anselmi et al. 2019<\/p>\n<p style=\"text-align: justify;\">Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, and Lorenzo Rosasco. &#8220;<a href=\"https:\/\/arxiv.org\/abs\/1902.06553\"><strong>A computational model for grid maps in neural populations<\/strong><\/a>.&#8221; arXiv preprint arXiv:1902.06553 (2019).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, and Lorenzo Rosasco. &#8220;A computational model for grid maps in neural populations.&#8221; arXiv preprint arXiv:1902.06553 (2019). The following content is extracted from\u00a0Anselmi 2019. Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, and Lorenzo Rosasco. &#8220;A computational model for grid maps in neural populations.&#8221; arXiv preprint arXiv:1902.06553 (2019). Since their [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[96,346,419],"tags":[250,249,103,457],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/1818"}],"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=1818"}],"version-history":[{"count":4,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/1818\/revisions"}],"predecessor-version":[{"id":1843,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/1818\/revisions\/1843"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}