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SUMMARY:Decoding of complex stimuli from large retinal populations - Vicen
 te Botella-Soler
DTSTART:20151007T091500Z
DTEND:20151007T100000Z
UID:TALK61361@talks.cam.ac.uk
CONTACT:Guillaume Hennequin
DESCRIPTION:Decoding of complex stimuli from the retinal activity remains 
 an open challenge. To date\, experiments have focused on decoding either a
  small number of discrete stimuli (e.g. decoding among several possible or
 ientations of a drifting grating)\, or very low dimensional dynamical trac
 es (e.g. luminance in a full field flicker experiment). In collaboration w
 ith experimentalists (group of O. Marre at the Vision Institute\, Paris)\,
  we have implemented different frameworks for the decoding of rich dynamic
 al stimuli at high level of spatial detail from the population activity of
  a rat’s retina. Linear decoding frameworks achieve good decoding perfor
 mance. Furthermore\, we show that\, in some instances\, methods taking adv
 antage of nonlinear features of the population activity can decode signifi
 cantly better than linear. Therefore\, our work on decoding complements en
 coding studies to provide novel and practical insights into the organizati
 on of the neural code.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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