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SUMMARY:Computational Neuroscience Journal Club - Greg Sotiropoulos (CBL)
DTSTART:20170530T150000Z
DTEND:20170530T160000Z
UID:TALK72814@talks.cam.ac.uk
CONTACT:Daniel McNamee
DESCRIPTION:Greg Sotiropoulos will cover:\n\n* Computing by Robust Transie
 nce: How the Fronto-Parietal Network Performs Sequential\, Category-Based 
 Decisions\n* Warasinee Chaisangmongkon\, Sruthi K. Swaminathan\, David J. 
 Freedman\, Xiao-Jing Wang\n* Neuron (March 2017)\n* http://www.cell.com/ne
 uron/fulltext/S0896-6273(17)30185-X\n\nAbstract:\nDecision making involves
  dynamic interplay between internal judgements and external perception\, w
 hich has been investigated in delayed match-to-category (DMC) experiments.
  Our analysis of neural recordings shows that\, during DMC tasks\, LIP and
  PFC neurons demonstrate mixed\, time-varying\, and heterogeneous selectiv
 ity\, but previous theoretical work has not established the link between t
 hese neural characteristics and population-level computations. We trained 
 a recurrent network model to perform DMC tasks and found that the model ca
 n remarkably reproduce key features of neuronal selectivity at the single-
 neuron and population levels. Analysis of the trained networks elucidates 
 that robust transient trajectories of the neural population are the key dr
 iver of sequential categorical decisions. The directions of trajectories a
 re governed by network self-organized connectivity\, defining a “neural 
 landscape” consisting of a task-tailored arrangement of slow states and 
 dynamical tunnels. With this model\, we can identify functionally relevant
  circuit motifs and generalize the framework to solve other categorization
  tasks.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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