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

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Artificial Neural Networks — ICANN 96 (ICANN 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

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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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Author information

Authors and Affiliations

  1. AE Biopsychology, Ruhr-University of Bochum, D-44780, Bochum, Germany

    Daniel Durstewitz & Onur Güntürkün

Authors
  1. Daniel Durstewitz
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  2. Onur Güntürkün
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Durstewitz, D., Güntürkün, O. (1996). The possible function of dopamine in associative learning: A computational model. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_113

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  • DOI: https://doi.org/10.1007/3-540-61510-5_113

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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