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Published on: September 10, 2018
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Temporal coding of reward-guided choice in the posterior parietal cortex
David J Hawellek1, Yan T Wong1,2, Bijan Pesaran3
1Center for Neural Science, New York University, New York, NY 10003.
Summary
Neural activity in the posterior parietal cortex (PPC) encodes decisions differently across theta, beta, and gamma frequencies. This temporal structure reveals how distributed brain networks process choices.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
Background:
- Decision-making relies on complex computations across distributed brain networks.
- Understanding how these distributed networks coordinate processing remains a challenge.
Purpose of the Study:
- To investigate how the temporal structure of neural activity in the posterior parietal cortex (PPC) influences choice encoding.
- To determine the role of different frequency bands (theta, beta, gamma) in decision-making computations.
Main Methods:
- Recorded spiking and local field potential (LFP) activity from the PPC in macaques during a decision-making task.
- Quantified mutual information between neural activity and upcoming choices.
- Analyzed the dependence of choice information on LFP phases across different frequency bands.
Main Results:
- PPC neural spiking correlated with LFP phases in theta, beta, and gamma bands.
- Choice information in neural firing varied with beta and gamma LFP phases.
- Gamma phase aligned choice information with spike count; beta phase showed a dissociation.
- Theta activity showed cross-frequency coupling with beta and gamma, indirectly influencing choice encoding.
Conclusions:
- The temporal dynamics of PPC activity, particularly across beta and gamma bands, play a critical role in encoding decisions.
- Relative timing of spiking and choice information may indicate local versus large-scale network computations.
- Discrepancies in timing patterns could signify distributed processing across brain networks.
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