Article

Belief states and categorical-choice biases determine reward-based learning under perceptual uncertainty

2020-09-21

Abstract excerpt

In natural settings, learning and decision making often takes place under considerable perceptual uncertainty. Here we investigate the computational principles that govern reward-based learning and decision making under perceptual uncertainty about environmental states. Based on an integrated perceptual and economic decision-making task where unobservable states governed the reward contingencies, we analyzed behav...

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Identifiers and source

Literature Corpus work: 51d86904-495c-5461-84b3-0ed0b246fd8d
DOI: 10.1101/2020.09.18.303495

Open publication

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