Differentiating between Bayesian parameter learning and structure learning based on behavioural and pupil measures
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DOI: 10.1371/journal.pone.0270619
Abstract: Within predictive processing two kinds of learning can be distinguished: parameter learning and structure learning. In Bayesian parameter learning, parameters under a specific generative model are continuously being updated in light of new evidence. However,… read more here.
Keywords: learning structure; parameter learning; structure learning; phase ... See more keywords