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SUMMARY:Analyzing artificial neural networks to understand the brain - Dr 
 Grace Lindsay
DTSTART:20221110T140000Z
DTEND:20221110T150000Z
UID:TALK192446@talks.cam.ac.uk
CONTACT:Sarah Morgan
DESCRIPTION:In the first part of this talk I will discuss work demonstrati
 ng that recurrent neural networks can replicate broad behavioral patterns 
 associated with dynamic visual object recognition in humans. An analysis o
 f these networks shows that different types of recurrence use different st
 rategies to solve the object recognition problem. The similarities between
  artificial neural networks and the brain presents another opportunity\, b
 eyond using them just as models of biological processing. In the second pa
 rt of this talk\, I will discuss a proposed research plan for testing a wi
 de range of analysis tools frequently applied to neural data on artificial
  neural networks. I will present the motivation for this approach as well 
 as the form the results could take and how this would benefit neuroscience
 . 
LOCATION:Online
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