BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational Neuroscience Journal Club - József Fiser (Central E
 uropean University)
DTSTART:20160614T150000Z
DTEND:20160614T160000Z
UID:TALK66479@talks.cam.ac.uk
CONTACT:Daniel McNamee
DESCRIPTION:József Fiser will cover:\n\n* Perceptual Decision-Making as P
 robabilistic Inference by Neural Sampling\n* Ralf Haefner\, Pietro Berkes\
 , József Fiser\n* Neuron (2016)\n* "Link to paper":http://www.cell.com/ne
 uron/fulltext/S0896-6273(16)30011-3\n\nWe address two main challenges faci
 ng systems neuroscience today: understanding the nature and function of co
 rtical feedback between sensory areas and of correlated variability. Start
 ing from the old idea of perception as probabilistic inference\, we show h
 ow to use knowledge of the psychophysical task to make testable prediction
 s for the influence of feedback signals on early sensory representations. 
 Applying our framework to a two-alternative forced choice task paradigm\, 
 we can explain multiple empirical findings that have been hard to account 
 for by the traditional feedforward model of sensory processing\, including
  the task dependence of neural response correlations and the diverging tim
 e courses of choice probabilities and psychophysical kernels. Our model ma
 kes new predictions and characterizes a component of correlated variabilit
 y that represents task-related information rather than performance-degradi
 ng noise. It demonstrates a normative way to integrate sensory and cogniti
 ve components into physiologically testable models of perceptual decision-
 making.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
END:VEVENT
END:VCALENDAR