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SUMMARY:Computational Neuroscience Journal Club - Alberto Bernacchia (CBL)
DTSTART:20170207T160000Z
DTEND:20170207T170000Z
UID:TALK70892@talks.cam.ac.uk
CONTACT:Daniel McNamee
DESCRIPTION:Alberto Bernacchia will cover:\n\n* History-dependent variabil
 ity in population dynamics during evidence accumulation in cortex\n* Ari S
  Morcos\, Christopher D Harvey\n* Nature Neuroscience (October 2016)\n* ht
 tp://www.nature.com/neuro/journal/v19/n12/full/nn.4403.html\n\nAbstract:\n
 We studied how the posterior parietal cortex combines new information with
  ongoing activity dynamics as mice accumulate evidence during a virtual na
 vigation task. Using new methods to analyze population activity on single 
 trials\, we found that activity transitioned rapidly between different set
 s of active neurons. Each event in a trial\, whether an evidence cue or a 
 behavioral choice\, caused seconds-long modifications to the probabilities
  that govern how one activity pattern transitions to the next\, forming a 
 short-term memory. A sequence of evidence cues triggered a chain of these 
 modifications resulting in a signal for accumulated evidence. Multiple dis
 tinguishable activity patterns were possible for the same accumulated evid
 ence because representations of ongoing events were influenced by previous
  within- and across-trial events. Therefore\, evidence accumulation need n
 ot require the explicit competition between groups of neurons\, as in winn
 er-take-all models\, but could instead emerge implicitly from general dyna
 mical properties that instantiate short-term memory.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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