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An Experimental Study Of The Formation And Development Of Hebbian Cell Assemblies By Means Of A Neural Network Simulation

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An Experimental Study Of The Formation And Development Of Hebbian Cell Assemblies By Means Of A Neural Network Simulation

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Author : Marion Rozzelle Finley
language : en
Publisher:
Release Date : 1967

An Experimental Study Of The Formation And Development Of Hebbian Cell Assemblies By Means Of A Neural Network Simulation written by Marion Rozzelle Finley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Nervous system categories.

Adaptive Information Processing

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Author : Jeffrey R. Sampson
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Adaptive Information Processing written by Jeffrey R. Sampson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

This book began as a series of lecture notes for a course called Introduc tion to Adaptive Systems which I developed for undergraduate Computing Science majors at the University of Alberta and first taught in 1973. The objective of the course has been threefold: (l) to expose undergraduate computer scientists to a variety of subjects in the theory and application of computation, subjects which are too often postponed to the graduate level or never taught at all; (2) to provide undergraduates with a background sufficient to make them effective participants in graduate level courses in Automata Theory, Biological Information Processing, and Artificial Intelligence; and (3) to present a personal viewpoint which unifies the apparently diverse aspects of the subject matter covered. All of these goals apply equally to this book, which is primarily designed for use in a one semester undergraduate computer science course. I assume the reader has a general knowledge of computers and programming, though not of particular machines or languages. His mathematical background should include basic concepts of number systems, set theory, elementary discrete probability, and logic.

Current Research And Development In Scientific Documentation

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Author :
language : en
Publisher:
Release Date : 1969

Current Research And Development In Scientific Documentation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Documentation categories.

Current Research And Development In Scientific Documentation

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Author : National Science Foundation (U.S.). Office of Scientific Information
language : en
Publisher:
Release Date : 1969

Current Research And Development In Scientific Documentation written by National Science Foundation (U.S.). Office of Scientific Information and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with categories.

Computers And Brains

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Author :
language : en
Publisher: Elsevier
Release Date : 1970-01-01

Computers And Brains written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970-01-01 with Medical categories.

Computers and Brains

Information Theoretic Aspects Of Neural Networks

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Author : P. S. Neelakanta
language : en
Publisher: CRC Press
Release Date : 2020-09-23

Information Theoretic Aspects Of Neural Networks written by P. S. Neelakanta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-23 with Technology & Engineering categories.

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.