Computational models of learning in simple neural systems /  [print] 
edited by Robert D. Hawkins and Gordon H. Bower. 
 - San Diego :  Academic Press,  (c)1989. 
 - xiv, 321 pages :  illustrations. 
 - Psychology of learning and motivation ;  v. 23 .
 - Psychology of learning and motivation ;  v. 23. .
<br/><br/>Includes bibliographies and index. 
<br/><br/> Quantitative modeling of synaptic plasticity  Computational capabilities of single neurons : relationship to simple forms of associative and nonassociative learning in Aplysia  A biologically based computational model for several simple forms of learning  Integrating behavioral and biological models of classical conditioning  Some relationships between a computational model (SOP) and a neural circuit for Pavlovian (rabbit eyeblink) conditioning  Simulation and analysis of a simple cortical network  A computational approach to hippocampal function  David C. Tam and Donald H. Perkel  --  John H. Byrne, Kevin J. Gingrich and Douglas A. Baxter  --  Robert D. Hawkins  --  Nelson H. Donegan, Mark A. Gluck and Richard F. Thompson  --  Allan R. Wagner and Nelson H. Donegan  --  Gary Lynch and Richard Granger  --  William B. Levy. 
<br/><br/>
<br/><br/><label>ISBN: </label>9780125433235 9780125319584 
<br/><br/><label>LCCN: </label>66030104 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>101471840  DNLM 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural circuitry.<br/>Neural Networks (Computer)<br/>Learning.<br/>Models, Neurological.<br/>Synaptic Transmission.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Aufsatzsammlung.
<br/><br/><label>LC Class. No.: </label>QP363.B786.C667 1989 QP363