Dynamic tuning of neural stability for cognitive control.
Muyuan Xu1, Takayuki Hosokawa2, Ken-Ichiro Tsutsui3
1International Research Center for Neurointelligence, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
Summary
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.
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.
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