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Dynamic tuning of neural stability for cognitive control.

Muyuan Xu1, Takayuki Hosokawa2, Ken-Ichiro Tsutsui3

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Cognitive control in the brain balances maintaining rules and updating information. A 70ms delay in neural activity allows selective information incorporation, reconciling robustness and sensitivity for flexible decision-making.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Cognitive control relies on neural activity patterns representing goals and rules.
  • Maintaining neural patterns requires robustness, while updating requires sensitivity, posing a challenge for neural systems.

Purpose of the Study:

  • Investigate how the brain reconciles robustness and sensitivity for cognitive control.
  • Explore the neural mechanisms underlying rule maintenance and sensory integration in the prefrontal cortex.

Main Methods:

  • Studied prefrontal cortex activity in monkeys performing a rule-based task.
  • Utilized stability analysis and a trained recurrent neural network model.
  • Analyzed neural response delays during sensory integration.

Main Results:

  • A 70 ms delay in sensory integration allows transient system-level destabilization.
  • This temporal window enables selective incorporation of new information.
  • Demonstrated a mechanism for coexisting robustness and sensitivity in neural systems.

Conclusions:

  • A hierarchical updating mechanism reconciles conflicting demands for cognitive control.
  • Revealed a learned, explicit rule representation in neural activity.
  • Proposed a framework reconciling symbolic and connectionist AI approaches.