NETWORK OPTIMIZATION IN THE BRAIN [II, 2000]: Cerebral Cortex Layout

dc.contributor.authorCherniak, Christopheren_US
dc.date.accessioned2004-05-31T23:32:13Z
dc.date.available2004-05-31T23:32:13Z
dc.date.created2003-09en_US
dc.date.issued2003-09-25en_US
dc.description.abstractThe hypothesis is that longrange connections in the brain are a critically constrained resource, hence there is strong selective pressure to optimize finely their deployment, to "minimize wire." Two methodological ideas are introduced: (1) Because of unfeasibility of measuring wirelengths in the cortex, a simpler adjacency-cost was validated. (2) To deal with incomplete information on brain networks, a Size Law was developed that predicts optimization patterns in subnetworks. Sensory areas of macaque and of cat cortex appear to be positioned to minimize connection costs, in some cases down to current limits of detectability. These optimization results begin to approach some of the most precise confirmed predictions in neuroscience. [ MH49867 2/00 68.3 ] (UMIACS-TR-2003-93)en_US
dc.format.extent1821306 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/1311
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4525en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2003-93en_US
dc.titleNETWORK OPTIMIZATION IN THE BRAIN [II, 2000]: Cerebral Cortex Layouten_US
dc.typeTechnical Reporten_US

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