Computational models of learning in simple neural systems / edited by Robert D. Hawkins and Gordon H. Bower. [print]
Material type: TextSeries: Psychology of learning and motivation ; v. 23.Publication details: San Diego : Academic Press, (c)1989.Description: xiv, 321 pages : illustrationsContent type:- text
- unmediated
- volume
- 9780125433235
- 9780125319584
- QP363.B786.C667 1989
- QP363
- COPYRIGHT NOT covered - Click this link to request copyright permission:
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 | Non-fiction | QP363.3.C6 1989 (Browse shelf(Opens below)) | Available | 31923000228102 |
Includes bibliographies and index.
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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