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Corticospinal Excitability Modulation During Action Observation
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Computational models of motivated action selection in corticostriatal circuits
1Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA. Michael_Frank@brown.edu
Current Opinion in Neurobiology
|April 19, 2011
Summary
Computational models of the basal ganglia are advancing, offering new insights into how we select actions and learn. These models explore motor control, cognitive functions, and the interplay of brain circuits.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Cognitive Science
Background:
- Basal ganglia models have gained prominence in the last decade.
- These models are crucial for understanding action selection and learning.
Purpose of the Study:
- To review theoretical advances in computational models of the basal ganglia.
- To focus on action selection, learning, and corticostriatal circuit interactions.
Main Methods:
- Literature review of computational models.
- Analysis of theoretical contributions.
Main Results:
- Models provide insights into motor and cognitive action selection.
- Models elucidate learning mechanisms within the basal ganglia.
- Models highlight the role of corticostriatal circuits in selection and learning.
Conclusions:
- Computational basal ganglia models offer significant theoretical advances.
- These models are key to understanding complex brain functions.
- Further research into corticostriatal interactions is warranted.
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