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Stochastic Information Processing in Biological Systems II — Statistics, Dynamics, and Phase Transitions

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Information Processing in Biological Systems

Part of the book series: Studies in the Natural Sciences ((SNS,volume 21))

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Abstract

We discuss the use of probabilistic automata and networks of probabilistic automata as a framework for modeling biological information processing and explore several consequences. In particular, we use the Ising model and recurrence in Brownian motion to argue that the brain uses its two-dimensional surface for primary data access, and consider biological attacks on polynomial-time, and nondeterministic polynomial-time problems, My talk and this paper form a continuation of joint work with Richard Pekelney (Hastings and Pekelney,1982).

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Author information

Authors and Affiliations

  1. Hofstra University, Hampstead, New York, 11550, USA

    Harold M. Hastings

Authors
  1. Harold M. Hastings
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Editor information

Editors and Affiliations

  1. Florida International University, Miami, Florida, USA

    Stephan L. Mints

  2. Center for Theoretical Studies, University of Miami, Coral Gables, Florida, USA

    Arnold Perlmutter

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© 1985 Plenum Press, New York

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Hastings, H.M. (1985). Stochastic Information Processing in Biological Systems II — Statistics, Dynamics, and Phase Transitions. In: Mints, S.L., Perlmutter, A. (eds) Information Processing in Biological Systems. Studies in the Natural Sciences, vol 21. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2515-4_6

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  • DOI: https://doi.org/10.1007/978-1-4613-2515-4_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9520-4

  • Online ISBN: 978-1-4613-2515-4

  • eBook Packages: Springer Book Archive

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