Article

Tracking the contribution of inductive bias to individualized internal models

2020-06-23

Abstract excerpt

Internal models capture the regularities of the environment and are central to understanding how humans adapt to environmental statistics. In general, the correct internal model is unknown to observers, instead approximate and transient ones are recruited. However, experimenters assume an ideal observer model, which captures stimulus structure but ignores the diverging hypotheses that humans form during learning....

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Literature Corpus work: 3d3207ec-7a0b-5bc1-8cb6-495d2800583e
DOI: 10.1101/2020.06.22.163295

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