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Neural Mechanisms of Behavioral Plasticity in an Invertebrate Model System

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Model Neural Networks and Behavior

Abstract

The relatively recent capacity of neuroscientists to unravel the central neural networks mediating simple behaviors, aptly illustrated in the preceding chapters of this book, has enabled a revolutionary paradigmatic advance in neurobiology. Namely, complex, higher-order behavioral phenomena, many of which previously defied even attempts at precise definition, can now be approached mechanistically in relatively simple and defined neural networks. Such behavioral phenomena include, for example, motivation, drive, mood, choice, attention, and learning, both nonassociative (i.e., habituation, sensitization) and associative (i.e., classical and operant conditioning). Many of these phenomena may be considered forms of behavioral plasticity, i.e., changes in behavior that are acquired because of experience.

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Authors and Affiliations

  1. The Thimann Laboratories and The Long Marine Laboratories, University of California at Santa Cruz, Santa Cruz, California, 95064, USA

    W. Jackson Davis

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  1. W. Jackson Davis
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Editors and Affiliations

  1. University of California, San Diego, La Jolla, California, USA

    Allen I. Selverston

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© 1985 Springer Science+Business Media New York

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Davis, W.J. (1985). Neural Mechanisms of Behavioral Plasticity in an Invertebrate Model System. In: Selverston, A.I. (eds) Model Neural Networks and Behavior. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5858-0_14

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  • DOI: https://doi.org/10.1007/978-1-4757-5858-0_14

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-5860-3

  • Online ISBN: 978-1-4757-5858-0

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