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Computational Modeling of Color Vision

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Human Color Vision

Part of the book series: Springer Series in Vision Research ((SSVR,volume 5))

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Abstract

Modeling approaches have contributed in various ways to our understanding of the neural principles and mechanisms of color vision. We review computational models addressing aspects of color vision at different levels, from the photoreceptors to neural processing and color perception, and we consider the kinds of insights that have been enabled by different kinds of models.

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  1. Computational Neuroscience, Department of Biology II, Ludwig-Maximilians-Universität München, Großhaderner Straße 2, D-82152, Planegg-Martinsried, Germany

    Thomas Wachtler

  2. Vision Center Laboratory, The Salk Institute, La Jolla, CA, USA

    Christian Wehrhahn

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  1. Thomas Wachtler
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  2. Christian Wehrhahn
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Correspondence to Thomas Wachtler .

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Editors and Affiliations

  1. University of Erlangen-Nürnberg, Erlangen, Germany

    Jan Kremers

  2. Department of Optometry and Visual Science, University College of Southeast Norway, Kongsberg, Norway

    Rigmor C. Baraas

  3. Queensland Brain Institute, The University of Queensland, Brisbane, Australia

    N. Justin Marshall

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© 2016 Springer International Publishing Switzerland

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Wachtler, T., Wehrhahn, C. (2016). Computational Modeling of Color Vision. In: Kremers, J., Baraas, R., Marshall, N. (eds) Human Color Vision. Springer Series in Vision Research, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-44978-4_9

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