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Related Concept Videos

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Working Memory and Decision-Making in a Frontoparietal Circuit Model.

John D Murray1, Jorge Jaramillo2, Xiao-Jing Wang3,4

  • 1Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06510.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|November 9, 2017
PubMed
Summary

A new computational model reveals distinct roles for the posterior parietal cortex (PPC) and prefrontal cortex (PFC) in working memory (WM) and decision-making (DM). The PPC handles evidence accumulation, while the PFC manages filtering and action selection for robust cognition.

Keywords:
NMDA receptorattractor networkdecision-makingparietal cortexprefrontal cortexworking memory

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Area of Science:

  • Cognitive neuroscience
  • Computational psychiatry
  • Systems neuroscience

Background:

  • Working memory (WM) and decision-making (DM) are core cognitive functions reliant on frontoparietal networks.
  • The specific contributions and coordination of the posterior parietal cortex (PPC) and prefrontal cortex (PFC) remain unclear.
  • Existing computational models often focus on local circuits, limiting understanding of large-scale network dynamics.

Purpose of the Study:

  • To develop a biophysically grounded computational model of interacting PPC and PFC circuits.
  • To elucidate the distinct and shared computational roles of PPC and PFC in WM and DM.
  • To identify principles of distributed, hierarchical processing in cognitive networks.

Main Methods:

  • Constructed a distributed circuit model of reciprocally connected PPC and PFC modules.
  • Incorporated hierarchical differences in local recurrent structure and long-range projections.
  • Simulated the model across various WM and DM paradigms to analyze neuronal and behavioral outputs.

Main Results:

  • The model successfully replicated key behavioral and neuronal characteristics of frontoparietal function.
  • During WM, PPC transiently encoded distractors, while PFC filtered them, enhancing WM robustness.
  • For DM, PPC represented accumulated evidence, whereas PFC generated categorical choice-related activity.

Conclusions:

  • PPC and PFC exhibit specialized roles within a distributed cognitive architecture.
  • The model provides insights into hierarchical processing principles for complex cognition.
  • Findings offer a framework for understanding cognitive deficits in disorders like schizophrenia.