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SUMMARY:CBL Alumni Talk - Task-specific routing of information in neural c
 ircuits via structured noise by Cristina Savin - Cristina Savin\, New York
  University
DTSTART:20210709T150000Z
DTEND:20210709T160000Z
UID:TALK158833@talks.cam.ac.uk
CONTACT:Elre Oldewage
DESCRIPTION:Across brain regions and species\, one key feature of neural a
 ctivity is that responses are highly variable. Hence\, (one of) the bigges
 t computation problems of the brain is to compensate for its own internal 
 noise. This interpretation is challenged by experimental data: in many con
 texts the brain seems to actively put itself in a dynamic regime where res
 ponses are highly variable\, which suggests that there may be computationa
 l advantages to having a seemingly ‘noisy’ brain. In this talk I will 
 discuss a new theoretical framework for how low-dimensional structured noi
 se can be used to dynamically route task-specific information between neur
 al populations. I will show how appropriate noise structure can be learned
  in artificial neural networks from limited data and find signatures of su
 ch coding in population recordings from macaque V1 and MT during a discrim
 ination task (Ruff & Cohen\, 2016). 
LOCATION:https://eng-cam.zoom.us/j/85184505624?pwd=WnhWZWR1SjhxUXFDOWtPT2c
 2cG90Zz09
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