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Neural and computational underpinnings of biased confidence in human reinforcement learning
PsychologyNature Communications

Neural and computational underpinnings of biased confidence in human reinforcement learning

C. Ting, N. Salem-garcia, et al.

Explore the fascinating neural mechanisms behind biased confidence in human reinforcement learning! Delve into the groundbreaking research by Chih-Chung Ting, Nahuel Salem-Garcia, Stefano Palminteri, Jan B. Engelmann, and Maël Lebreton, which reveals how the VMPFC network encodes global confidence signals amidst contextual biases using fMRI technology.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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