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Computational models of learning in simple neural systems / edited by Robert D. Hawkins and Gordon H. Bower. [print]

Contributor(s): Material type: TextTextSeries: Psychology of learning and motivation ; v. 23.Publication details: San Diego : Academic Press, (c)1989.Description: xiv, 321 pages : illustrationsContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780125433235
  • 0125433239
  • 9780125319584
  • 0125319584
Subject(s): Genre/Form: LOC classification:
  • QP363.3.C667 1989
  • QP363.3.B786.C667 1989
Available additional physical forms:
  • COPYRIGHT NOT covered - Click this link to request copyright permission:
Contents:
Quantitative modeling of synaptic plasticity David C. Tam and Donald H. Perkel Computational capabilities of single neurons : relationship to simple forms of associative and nonassociative learning in Aplysia John H. Byrne, Kevin J. Gingrich and Douglas A. Baxter A biologically based computational model for several simple forms of learning Robert D. Hawkins Integrating behavioral and biological models of classical conditioning Nelson H. Donegan, Mark A. Gluck and Richard F. Thompson Some relationships between a computational model (SOP) and a neural circuit for Pavlovian (rabbit eyeblink) conditioning Allan R. Wagner and Nelson H. Donegan Simulation and analysis of a simple cortical network Gary Lynch and Richard Granger A computational approach to hippocampal function William B. Levy.
Item type: Circulating Book (checkout times vary with patron status)
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Item type Current library Collection Call number Status Date due Barcode
Circulating Book (checkout times vary with patron status) G. Allen Fleece Library Circulating Collection - First Floor Non-fiction QP363.3.C6 1989 (Browse shelf(Opens below)) Available 31923000228102

Quantitative modeling of synaptic plasticity David C. Tam and Donald H. Perkel Computational capabilities of single neurons : relationship to simple forms of associative and nonassociative learning in Aplysia John H. Byrne, Kevin J. Gingrich and Douglas A. Baxter A biologically based computational model for several simple forms of learning Robert D. Hawkins Integrating behavioral and biological models of classical conditioning Nelson H. Donegan, Mark A. Gluck and Richard F. Thompson Some relationships between a computational model (SOP) and a neural circuit for Pavlovian (rabbit eyeblink) conditioning Allan R. Wagner and Nelson H. Donegan Simulation and analysis of a simple cortical network Gary Lynch and Richard Granger A computational approach to hippocampal function William B. Levy.

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