Models that learn how humans learn: the case of decision-making and its disorders
Amir Dezfouli, Kristi R. Griffiths, Fabio Tozeto Ramos, Peter Dayan, Bernard W. Balleine
The paper introduces a recurrent neural network approach to model human decision-making and shows it outperforms traditional methods in predicting behavior in depression and bipolar disorder.
PLoS Computational Biology · Jun 11, 2019Peer-reviewedBioinformatics