Neural Modeling and Neural Networks [NOOK Book]

Overview

Research in neural modeling and neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, recognition, which are the basis of neuropsychology. Nevertheless, for many, neural modeling remains controversial in its purported ability to describe brain activity. The difficulties in "modeling" are various, but arise principally in identifying those elements that are fundamental for the expression (and description) of superior neural ...
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Neural Modeling and Neural Networks

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Overview

Research in neural modeling and neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, recognition, which are the basis of neuropsychology. Nevertheless, for many, neural modeling remains controversial in its purported ability to describe brain activity. The difficulties in "modeling" are various, but arise principally in identifying those elements that are fundamental for the expression (and description) of superior neural activity. This is complicated by our incomplete knowledge of neural structures and functions, at the cellular and population levels. The first step towards enhanced appreciation of the value of neural modeling and neural networks is to be aware of what has been achieved in this multidisciplinary field of research. This book sets out to create such awareness. Leading experts develop in twelve chapters the key topics of neural structures and functions, dynamics of single neurons, oscillations in groups of neurons, randomness and chaos in neural activity, (statistical) dynamics of neural networks, learning, memory and pattern recognition.

Research in neural modeling and neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, recognition, which are the basis of neuropsychology. Nevertheless, for many, neural modeling remains controversial in its purported ability to describe brain activity. The difficulties in "modeling" are various, but arise principally in identifying those elements that are fundamental for the expression (and description) of superior neural activity. This is complicated by our incomplete knowledge of neural structures and functions, at the cellular and population levels. The first step towards enhanced appreciation of the value of neural modeling and neural networks is to be aware of what has been achieved in this multidisciplinary field of research. This book sets out to create such awareness. Leading experts develop in twelve chapters the key topics of neural structures and functions, dynamics of single neurons, oscillations in groups of neurons, randomness and chaos in neural activity, (statistical) dynamics of neural networks, learning, memory and pattern recognition

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Editorial Reviews

Booknews
Consolidates the research over the past decade into neural network modeling, with the aim of convincing skeptics in the biological and cognitive sciences that it really can describe brain activity accurately. Among the twelve topics are the anatomical basis, diffusion models of a single neurone's activity, and a qualitative overview of population neurodynamics. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9781483287904
  • Publisher: Elsevier Science
  • Publication date: 10/22/2013
  • Series: Pergamon Studies in Neuroscience
  • Sold by: Barnes & Noble
  • Format: eBook
  • File size: 7 MB

Table of Contents

List of contributors. Anatomical bases of neural network modeling (J. Szentágothai). Models of visuomotor coordination in frog and monkey (M.A. Arbib). Analysis of single-unit activity in the cerebral cortex (M. Abeles). Single neuron dynamics: an introduction (L.F. Abbott). An introduction to neural oscillators (B. Ermentrout). Mechanisms resposnsible for epilepsy in hippocampal slices predispose the brain to collective oscillations (R.D. Traub, J.G.R. Jefferys). Diffusion models of single neurones' activity (L.M. Ricciardi). Noise and chaos in neural systems (P. Érdi). Qualitative overview of population neurodynamics (W.J. Freeman). Toward a kinetic theory of cortical-like neural fields (F. Ventriglia). Psychology, neurobiology and modeling: the science of hebbian reverberations (D.J. Amit). Pattern recognition with neural networks (K. Fukushima). Bibliography. Subject index.
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