{"id":10,"date":"2015-06-24T20:31:16","date_gmt":"2015-06-24T20:31:16","guid":{"rendered":"http:\/\/tncg.csail.mit.edu\/?page_id=10"},"modified":"2020-10-13T16:34:35","modified_gmt":"2020-10-13T16:34:35","slug":"computational-connectomics-group","status":"publish","type":"page","link":"https:\/\/ccg.csail.mit.edu\/","title":{"rendered":"Home"},"content":{"rendered":"

The structure of the nervous system is exceptionally complex: it consists of thousands of cells connected to thousands of other cells in microscopic networks that extend over large volumes. Mapping such networks at the level of synaptic connections, and understanding the relation of their connectivity to function, forms the core of a new and promising research field called functional connectomics.<\/p>\n

Our group\u2019s goal is to create, based on such connectivity and functional data, new mathematical models explaining how neural tissue computes. As functional connectomics data become available en-mass in coming years, our modeling will span the connectomics gamut from the behavior of individual neurons in small circuits to collections of neurons in increasingly complex networks.<\/p>\n

As with any area of the experimental sciences, one has to bring an engineering tool to the table in order to collaborate with others in collecting the data necessary to do great theory. Our tool is our understanding of highly parallel concurrent systems. This knowledge will serve us in building algorithms to analyze the massive amounts of recorded data from which we will then generate the graphs for our theoretical analysis.<\/p>\n

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Before processing large stablecoin transfers, it\u00e2\u20ac\u2122s important to understand the compliance risks involved. A proper usdt aml check<\/a> helps identify exposure to sanctioned addresses, high-risk counterparties, mixers, and fraud-related activity.<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

The structure of the nervous system is exceptionally complex: it consists of thousands of cells connected to thousands of other cells in microscopic networks that extend over large volumes. Mapping such networks at the level of synaptic connections, and understanding the relation of their connectivity to function, forms the core of a new and promising research field called functional connectomics. Our group\u2019s goal is to create, based on such connectivity and functional data, new mathematical models explaining how neural tissue computes. As functional connectomics data become available en-mass in coming years, our modeling will span the connectomics gamut from the behavior of individual neurons inRead More →<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/template-widgetized.php","meta":{"footnotes":""},"class_list":["entry","page","publish","author-developer","post-10"],"_links":{"self":[{"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/10"}],"collection":[{"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10"}],"version-history":[{"count":10,"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":837,"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions\/837"}],"wp:attachment":[{"href":"https:\/\/ccg.csail.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}