Article

Models that learn how humans learn: the case of decision-making and its disorders

2018-03-20

Abstract excerpt

Popular computational models of decision-making make specific assumptions about learning processes that may cause them to underfit observed behaviours. Here we suggest an alternative method using recurrent neural networks (RNNs) to generate a flexible family of models that have sufficient capacity to represent the complex learning and decision-making strategies used by humans. In this approach, an RNN is trained t...

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Literature Corpus work: b6fbf8df-741e-5d79-881d-beaec7bef4e9
DOI: 10.1101/285221

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