Computational Neuroscience Journal Club

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• Alberto Bernacchia (CBL)
• Tuesday 07 February 2017, 16:00-17:00
• Cambridge University Engineering Department, CBL, BE-438 (http://learning.eng.cam.ac.uk/Public/Directions).

If you have a question about this talk, please contact Daniel McNamee.

Alberto Bernacchia will cover:

• History-dependent variability in population dynamics during evidence accumulation in cortex
• Ari S Morcos, Christopher D Harvey
• Nature Neuroscience (October 2016)
• http://www.nature.com/neuro/journal/v19/n12/full/nn.4403.html

Abstract: We studied how the posterior parietal cortex combines new information with ongoing activity dynamics as mice accumulate evidence during a virtual navigation task. Using new methods to analyze population activity on single trials, we found that activity transitioned rapidly between different sets 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 distinguishable activity patterns were possible for the same accumulated evidence because representations of ongoing events were influenced by previous within- and across-trial events. Therefore, evidence accumulation need not require the explicit competition between groups of neurons, as in winner-take-all models, but could instead emerge implicitly from general dynamical properties that instantiate short-term memory.

This talk is part of the Computational Neuroscience series.

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