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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Feature integration in generative models of visual cortex
DTSTART:20111208T151500
DTSTAMP:20260407T100422Z
UID:9f2ad5a2cf77cb073fd4ff72e7f61e679e27e397fbfaa0f36c2ff45c
CATEGORIES:Miscellaneous
DESCRIPTION:Udo ERNST\, Institute for Theoretical Physics\, University of 
 Bremen\nThe visual system of humans and primates combines localized featur
 es or image patches into representations which become more and more comple
 x in higher visual areas. Generative models allow to study these integrati
 on processes in a well-defined probabilistic framework that allows to link
  cognitive functions to neural dynamics and to behaviour. In our work\, we
  use such an approach to investigate two important aspects of visual featu
 re integration: contour detection and contextual modulation. In particular
 \, we identify a biophysically plausible neuronal model which predicts hum
 an behaviour in contour integration experiments to almost 100%. A similar 
 approach allows to find a coherent explanation for a range of experimental
  results concerning the modulation of neuronal responses to stimuli inside
  their receptive fields by stimulus context. We will demonstrate that the 
 probabilistic framework not only provides a functional interpretation of e
 mpirical observation\, but also suggests specific neural mechanisms suppor
 ting these functions. 
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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