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Biophysics of neural computation

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New Trends in Neural Computation (IWANN 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

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Abstract

This paper discusses neural computation in vision. Optimal design links structure-function relationships. This is evident at the cellular level with rod photoreceptor structure subserving detection in the presence of noise; and it is evident in the architecture of neural networks in which parallel computation is carried out in converging and diverging lines between different levels of the nervous system. Such an architecture makes possible some interesting schemes for information processing, including the computation of explicit parameters, resolution and reliability.

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References

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Author information

Authors and Affiliations

  1. Department of Biophysical Sciences, State University of New York at Buffalo, USA

    K. N. Leibovic

  2. Center for Cognitive Science, 120 Cary Hall, 14214-3005, Buffalo, NY

    K. N. Leibovic

Authors
  1. K. N. Leibovic
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Editor information

José Mira Joan Cabestany Alberto Prieto

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© 1993 Springer-Verlag Berlin Heidelberg

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Leibovic, K.N. (1993). Biophysics of neural computation. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_116

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  • DOI: https://doi.org/10.1007/3-540-56798-4_116

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

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