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Transforming the Choice Outcome to an Action Plan in Monkey Lateral Prefrontal Cortex: A Neural Circuit Model
Man Yi Yim1, Xinying Cai2, Xiao-Jing Wang3
1New York University Shanghai, Shanghai, 200122, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, 200062, China; Present address: Center for Theoretical and Computational Neuroscience and Department of Neuroscience, University of Texas at Austin, Austin, TX 78712, USA.
This study models how the brain transforms economic choices into actions. It identifies distinct neuron types in the lateral prefrontal cortex (LPFC) crucial for this decision-making process.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Decision Science
Background:
- Economic decisions involve choosing a good and then acting to obtain it.
- Understanding the neural mechanisms of transforming choices into actions is crucial.
Purpose of the Study:
- To elucidate the neural circuit mechanisms underlying the transformation of economic choices into actions.
- To propose a biologically plausible neural circuit architecture for this process.
Main Methods:
- Constructed a neural circuit model with modules for choice, target integration, and action planning.
- Examined three scenarios for action plan emergence and compared with experimental data.
- Analyzed neural activity in the lateral prefrontal cortex (LPFC) of behaving monkeys.
Main Results:
- The model predicts three types of neurons with distinct functions, confirmed by LPFC neural activity.
- A clearer classification of functional neuron types was found in ventral LPFC compared to dorsal LPFC.
- This suggests the action plan is initially generated in the ventral LPFC.
Conclusions:
- The developed model provides a biologically plausible neural circuit architecture for good-to-action transformation.
- Findings highlight the role of the LPFC, particularly its ventral region, in economic decision-making and action planning.
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