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SUMMARY:Integrated Spin model with global inhibition for decision making -
  Nir Gov\, Weizmann Institute of Science
DTSTART:20240520T090000Z
DTEND:20240520T100000Z
UID:TALK216724@talks.cam.ac.uk
CONTACT:Samuel Eckmann
DESCRIPTION:Humans and other organisms make decisions choosing between dif
 ferent options\, with the aim to maximize the reward. The main theoretical
  framework for modeling the decision-making process has been based on the 
 highly successful drift-diffusion model\, which is a simple tool for expla
 ining many aspects of this process. Recently\, it was found that during hi
 gh cognitive load and situations of uncertainty\, inhibition of neuronal f
 iring increases\, but the origin of this phenomenon is not understood. Mot
 ivated by this observation\, we extend a recently developed model for deci
 sion-making while animals move towards targets in real space. We introduce
  an Ising-type model\, which includes global inhibition\, and explore its 
 role in the decision-making process. This model can explain how the brain 
 may utilize modulation of inhibition to improve its decision-making accura
 cy. Compared to experimental results\, this model suggests that the regime
  of the brain's decision-making activity is in proximity to a critical sta
 te. Within the model\, the critical region near the transition line has th
 e advantageous property of enabling a significant decrease in error with a
  small increase in inhibition and also exhibits unique properties with res
 pect to learning and memory decay.
LOCATION:CBL Seminar Room\, Engineering Department\, 4th floor Baker build
 ing
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