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SUMMARY: Minimal models of neural responses to natural stimuli
DTSTART:20120920T170000
DTEND:20120920T183000
DTSTAMP:20260916T043945Z
UID:d69ba4e7cc723bc5ac6069b11af1bee151402d332da0c0ab47cb62a2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Tatyana SHARPEE (Computational Neurobiology Laboratory\, SALK 
 Institute)\nSwiss Computational Neuroscience Seminar\n\nIn this talk I wil
 l discuss how to build minimal models of neural responses to natural stimu
 li. The core of the approach consist in finding models that correspond to 
 maximum noise entropy\, that is models that are least constrained except t
 hat they satisfy a chosen set of constraints on stimulus/response correlat
 ions. In the first part of the talk I will describe how this approach can 
 be used to find any number of relevant stimulus dimensions. Thus\, the tec
 hnique generalizes a well known method of spike triggered covariance to th
 e case of natural stimuli. I will also compare this method to maximizing m
 utual information about the neural responses and a quadratic form of the s
 timulus. In the second part of the talk I will describe how the maximum no
 ise entropy approach can be used to characterize the nonlinear operations 
 within the relevant subspace.\n
LOCATION:BC 04 https://plan.epfl.ch/?room==BC%2004
STATUS:CONFIRMED
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