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SUMMARY:LCN Seminar: Information-limiting correlations 
DTSTART:20141113T133000
DTSTAMP:20260509T211747Z
UID:d1e101f679a66c6b083010e9e4982069134875aec8f927821a826be4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Rubén MORENO-BOTE\; Foundation Sant Joan de Deu\, Barcelona\,
  Spain\nComputational strategies used by the brain depend strongly on the 
 amount of information that can be stored in population activity\, which in
  turn depends strongly on the pattern of noise correlations. In vivo\, noi
 se correlations tend to be positive and proportional to the similarity in 
 tuning properties. Such correlations are thought to limit information\, wh
 ich has led to the suggestion that decorrelation increases information. In
  this talk\, I will show analytically and numerically that\, in contrast\,
  decorrelation does not imply an increase in information. Instead\, the on
 ly information-limiting correlations are what we call differential correla
 tions: correlations proportional to the product of the derivatives of the 
 tuning curves. Differential correlations are likely to be very small\, and
  buried under correlations that do not limit information\, making them par
 ticularly difficult to detect. We show\, however\, that the impact of diff
 erential correlations on information can be detected with relatively simpl
 e decoders.
LOCATION:AAC132 http://plan.epfl.ch/?room=AAC132
STATUS:CONFIRMED
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