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Developing intuition: neural correlates of cognitive-skill learning in caudate nucleus
Xiaohong Wan1, Daisuke Takano, Takeshi Asamizuya
1Cognitive Brain Mapping Laboratory and Support Unit for Functional Magnetic Resonance Imaging, RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan.
Summary
Cognitive expertise relies on intuitive, rapid information processing. This study reveals that the caudate nucleus, not cortical areas, drives this skill development through extensive training, highlighting its role in automating cognitive tasks.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Expertise Development
Background:
- Expert cognitive performance relies on rapid, automatic information processing, termed intuition.
- While cognitive models of intuition exist, its underlying neural mechanisms remain largely unknown.
- Intuition is understood to develop through extensive, long-term training.
Purpose of the Study:
- To investigate the neural basis of intuition development.
- To identify brain regions that change with training-induced improvements in rapid cognitive skill.
- To understand how the brain automates complex cognitive computations.
Main Methods:
- Novices underwent 15 weeks of training in a simple board game.
- Brain activity was measured during rapid, best-next-move generation at early and late training phases.
- Functional brain imaging techniques were employed to track neural activation patterns.
Main Results:
- Activation in the head of the caudate nucleus increased with training, paralleling performance improvements.
- Caudate nucleus activity magnitude correlated with the subjects' ability to quickly generate the best move.
- Cortical activations, present early in training, showed no significant changes over time.
Conclusions:
- Neural activation in the caudate head, rather than cortical areas, tracks the development of rapid cognitive skill.
- The findings suggest that neural circuits involving the caudate head play a crucial role in automating cognitive computations.
- This research provides insight into the neural underpinnings of expertise acquisition and intuitive decision-making.
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