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Theoretical mechanics of biological neural networks /

Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating p...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: MacGregor, Ronald J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Academic Press, �1993.
Colección:Neural networks, foundations to applications.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a MacGregor, Ronald J. 
245 1 0 |a Theoretical mechanics of biological neural networks /  |c Ronald J. MacGregor. 
260 |a Boston :  |b Academic Press,  |c �1993. 
300 |a 1 online resource (xii, 377 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Neural networks, foundations to applications 
504 |a Includes bibliographical references (pages 360-364) and index. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
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520 |a Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating processes of transmembrance ionic fluxes of synapses of excitable membranes. Listings of representative computer programs simulating arbitrary neurons, and local and composite neural networks are included. * Develops a theory of dynamic similarity for characterising the firing rate sensitivites of neurons in terms of their characteristic anatomical and physiological parameters. * Presents the sequential configuration theory - a theoretical presentation of coordinated firing patterns in entire neural populations. * Presents the outlines of mechanics for multiple interacting networks in composite systems. 
588 0 |a Print version record. 
505 0 |a Preface; ; I. Theoretical Mechanics of Neuroelectric Signalling; ; II. Dynamic Similarity Theory of Neuronal Firing; ; III. Coordinated Dynamic Firing Patterns in Local Networks; ; IV. Theoretical Mechanics of Composite Neural Networks; ; Afterward; ; Appendix; ; Index 
546 |a English. 
506 1 |a Legal Deposit;  |c Only available on premises controlled by the deposit library and to one user at any one time;  |e The Legal Deposit Libraries (Non-Print Works) Regulations (UK).  |5 WlAbNL 
540 |a Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.  |5 WlAbNL 
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650 0 |a Neural networks (Computer science) 
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653 0 |a Neurobiology 
776 0 8 |i Print version:  |a MacGregor, Ronald J.  |t Theoretical mechanics of biological neural networks.  |d Boston : Academic Press, �1993  |w (DLC) 92043460  |w (OCoLC)27186569 
830 0 |a Neural networks, foundations to applications. 
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