Article

Electrophysiological signatures of hierarchical learning

2021-03-10

Abstract excerpt

Human perception and learning is thought to rely on a hierarchical generative model that is continuously updated via precision-weighted prediction errors (pwPEs). However, the neural basis of such cognitive process and how it unfolds during decision making, remain poorly understood. To investigate this question, we combined a hierarchical Bayesian model (i.e., Hierarchical Gaussian Filter, HGF) with electrophysiol...

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Literature Corpus work: 013c4477-7d5a-533c-a72d-e0da014bde0b
DOI: 10.1101/2021.03.09.434666

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