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Neurocomputational models of basal ganglia function in learning, memory and choice
Michael X Cohen1, Michael J Frank
1Department of Psychology, Program in Neuroscience, University of Arizona, 1503 E University Blvd, Tucson, AZ 85721, United States.
Neurocomputational models of the basal ganglia (BG) explain motor, cognitive, and emotional coordination. Research integrates biological realism and abstract math, validated by empirical studies for refined understanding of BG functions.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- The basal ganglia (BG) are crucial for motor, cognitive, and emotional functions.
- Dysfunction in the BG is implicated in neurological and psychiatric disorders like Parkinson's disease and Schizophrenia.
Purpose of the Study:
- To review neurocomputational frameworks of the basal ganglia and related circuitry.
- To provide insights into the functional roles of the BG in behavior.
- To discuss the integration of different modeling approaches.
Main Methods:
- Focus on two classes of models: biologically realistic and abstract mathematical models.
- Review of existing literature on basal ganglia neurocomputation.
- Consideration of empirical evidence from various studies.
Main Results:
- Both modeling approaches offer complementary insights into BG function.
- Empirical studies largely support model predictions, aiding refinement.
- Biological details not yet incorporated may play significant roles.
Conclusions:
- Neurocomputational models are valuable tools for understanding basal ganglia function.
- Integration of different modeling strategies and empirical data is key for future progress.
- Further research can refine models by incorporating more biological details.
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