The possible function of dopamine in associative learning: A computational model

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Abstract

The neuromodulator dopamine is critically involved in different procedures of instrumental learning and working memory. Based on physiological data, the present study investigates the effects of dopamine on neural network behavior. We demonstrate that dopamine suppresses interference with previously learned patterns and may enable fast learning of new contingencies or associations in biologically significant contexts.

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Durstewitz, D., & Güntürkün, O. (1996). The possible function of dopamine in associative learning: A computational model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 667–672). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_113

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