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Author: Eisenberg, Marlene M.,

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Neural modeling and neural networks /

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 p...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology.
Group Author: Ventriglia, F. (Francesco)
Published: Pergamon Press,
Publisher Address: Oxford [England] ; New York :
Publication Dates: 1994.
Literature type: eBook
Language: English
Edition: First edition.
Series: Pergamon studies in neuroscience ; no. 11
Subjects:
Neural networks (Neurobiology)
Nervous system > Computer simulation.
Neurons > Computer simulation.
Models, Neurological.
MEDICAL > Physiology.
SCIENCE > Human Anatomy & Physiology. > Human Anatomy & Physiology.
Syste me nerveux.
Simulation ordinateur.
Neurones.
Mode le neurologique.
Re seau nerveux.
Neurobiologie.
Neurale netwerken.
Modellen.
Zenuwstelsel.
Computersimulation.
Neurobiology
Electronic books.
Online Access: http://www.sciencedirect.com/science/book/9780080422770
Summary: 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.
Carrier Form: 1 online resource (viii, 351 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 309-343) and index.
ISBN: 9781483287904
1483287904
Index Number: QP363
CLC: Q189
Contents: Anatomical Bases of Neural Network Modeling / Janos Szentagothai -- Models of Visuomotor Coordination in Frog and Monkey / Michael A. Arbib -- Analysis of Single-Unit Activity in the Cerebral Cortex / Moshe Abeles -- Single Neuron Dynamics: An Introduction / Larry F. Abbott -- An Introduction to Neural Oscillators / Bard Ermentrout -- Mechanisms Responsible for Epilepsy in Hippocampal Slices Predispose the Brain to Collective Oscillations / Roger D. Traub and John G.R. Jefferys -- Diffusion Models of Single Neurones' Activity / Luigi M. Ricciardi -- Noise and Chaos in Neural Systems / Peter Erdi -- Qualitative Overview of Population Neurodynamics / Walter J. Freeman -- Toward a Kinetic Theory of Cortical-like Neural Fields / Francesco Ventriglia -- Psychology, Neurobiology and Modeling: The Science of Hebbian Reverberations / Daniel J. Amit -- Pattern Recognition with Neural Networks / Kunihiko Fukushima.

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