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

Other author Hawkins, R. D. (Robert D.)
Other author Bower, Gordon H.
Format Electronic
Publication InfoSan Diego : Academic Press,
Descriptionxiv, 321 p. : ill.
Supplemental ContentFull text available from Book Series Backfile Package - Psychology [YBPSYC]
Subjects

SeriesPsychology of learning and motivation ; v. 23
Psychology of learning and motivation ; v. 23. ^A805148
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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 66030104
ISBN9780125433235 (hardover : alk. paper)
ISBN0125433239 (hardover : alk. paper)
ISBN9780125319584 (pbk. : alk. paper)
ISBN0125319584 (pbk. : alk. paper)

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