Title:
New Cortex. Who dis(inhibition)?

dc.contributor.author Doiron, Brent
dc.contributor.corporatename Georgia Institute of Technology. Neural Engineering Center en_US
dc.contributor.corporatename University of Pittsburgh. Dept. of Mathematics en_US
dc.date.accessioned 2018-12-05T19:05:07Z
dc.date.available 2018-12-05T19:05:07Z
dc.date.issued 2018-11-26
dc.description Presented on November 26, 2018 at 11:15 a.m. in the Krone Engineered Biosystems Building, Room 1005. en_US
dc.description Brent Doiron is a Professor of Mathematics at the University of Pittsburgh. His general research program seeks to identify how single neurons and networks of neurons code information about relevant inputs. en_US
dc.description Runtime: 58:35 minutes en_US
dc.description.abstract My general research program seeks to identify how single neurons and networks of neurons code information about relevant inputs. Using a combination of nonlinear systems theory, stochastic differential equations, and information theory I study this problem in the context of somatosensory, auditory, and electrosensory systems. The main goal is to link brain dynamics responsible for coding with putative coding schemes that may be general across many sensory systems. Of particular interest is how correlations and synchrony across a population of thalamic and cortical neurons influences the information throughput of sensory processing. en_US
dc.format.extent 58:35 minutes
dc.identifier.uri http://hdl.handle.net/1853/60588
dc.language.iso en_US en_US
dc.relation.ispartofseries GT Neuro Seminar Series
dc.subject Cortical model en_US
dc.subject Gain control en_US
dc.subject Inhibition en_US
dc.title New Cortex. Who dis(inhibition)? en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Neural Engineering Center
local.relation.ispartofseries GT Neuro Seminar Series
relation.isOrgUnitOfPublication c2e26044-257b-4ef6-8634-100dd836a06c
relation.isSeriesOfPublication 608bde12-7f29-495f-be22-ac0b124e68c5
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