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Logical structure of neurobiological information processing

  • Track 13: Biological Information And Neural Network
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Computing in the 90's (Great Lakes CS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 507))

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Abstract

In a series of papers, we have developed a logical model, using category theory, for neurobiological processing. A schema is a functor C : C → Set It is essentially an action of a category C on Set. A model M = 〈F, α〉 of C′ : C′ → Set in C : C → Set is given by a functor F : C′ → C, and a natural transformation α : C º F \(\to\) C′. In this paper, we develop a set of simple psychophysical gedankenexperiments and apply the general theory to work out some of the logic of the perceptual process.

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References

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Author information

Authors and Affiliations

  1. MIEMSS, UMAB, 21201, Baltimore, MD

    William P. Coleman

  2. Department of Mathematics, UMBC, 21228, Baltimore, MD

    William P. Coleman

  3. St. John's College, 21404, Annapolis, MD

    William P. Coleman

  4. Aeronautical Radio, Inc., 2551 Riva Road, 21401, Annapolis, MD

    David P. Sanford

  5. C.N.R. Centro di Studio per la Fisiopatologia dello Shock, Istituto di Clinica Chirurgica, Università Cattolica del Sacro Cuore, Via Pineta Sacchetti, 644, I-00168, Roma, Italia

    Andrea De Gaetano

  6. Divisios of Neurosurgery, UMAB, 21201, Baltimore, MD

    Fred Geisler

  7. Department of Neurosurgery, Patuxent Medical Group, 21045, Columbia, MD

    Fred Geisler

Authors
  1. William P. Coleman
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  2. David P. Sanford
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  3. Andrea De Gaetano
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  4. Fred Geisler
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Editor information

Naveed A. Sherwani Elise de Doncker John A. Kapenga

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© 1991 Springer-Verlag Berlin Heidelberg

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Coleman, W.P., Sanford, D.P., De Gaetano, A., Geisler, F. (1991). Logical structure of neurobiological information processing. In: Sherwani, N.A., de Doncker, E., Kapenga, J.A. (eds) Computing in the 90's. Great Lakes CS 1989. Lecture Notes in Computer Science, vol 507. Springer, New York, NY. https://doi.org/10.1007/BFb0038522

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  • DOI: https://doi.org/10.1007/BFb0038522

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97628-0

  • Online ISBN: 978-0-387-34815-5

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