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SUMMARY:Population coding in the retina: from data to spin-glass models an
 d optimal codes
DTSTART:20110204T121500
DTSTAMP:20260408T002303Z
UID:77994a9841ce6646ebde8a8048b8c8e207d9593dfda2b7328edf5aac
CATEGORIES:Conferences - Seminars
DESCRIPTION:Gasper TKACIK\, Department of Physics and Astronomy / Universi
 ty of Pennsylvania\nIn most areas of the brain\, information is encoded in
  the correlated activity of large populations of neurons. Here we ask two 
 questions: (i) How can the architecture of such codes be teased apart from
  experimental data that records simultaneous activity of many neurons\, an
 d what are the qualitative features of these real population codes? (ii) H
 ow should neural responses be coupled to best represent information about 
 different ensembles of correlated stimuli\, and what are the qualitative f
 eatures of such optimal population codes? In this comparison of real vs op
 timal systems we find interesting connections to ideas about spin-glasses 
 and information theory\, and are able to predict phenomena like 'network a
 daptation' that can be tested in the upcoming generation of experiments
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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