Editorial: Computational accounts of reinforcement learning and decision making in psychiatric disorders
- PMID: 35958661
- PMCID: PMC9358282
- DOI: 10.3389/fpsyt.2022.966369
Editorial: Computational accounts of reinforcement learning and decision making in psychiatric disorders
Keywords: Hierarchical Gaussian Filter; computational psychiatry; information seeking; reinforcement learning; value-based decision making.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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- Editorial on the Research Topic Computational accounts of reinforcement learning and decision making in psychiatric disorders
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References
-
- Marr D, Poggio T. From Understanding Computation to Understanding Neural Circuitry. Cambridge, MA: Massachusetts Institute of Technology, Artificial Intelligence Laboratory; (1976).
-
- Sutton RS, Barto AG. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press; (2018).
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