Foundations and Tools for Neural Modeling
Foundations and Tools for Neural Modeling

Author: Jose Mira

Publisher: Springer Science & Business Media

Published: 1999-05-19

Total Pages: 900

ISBN-13: 9783540660699

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This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial & Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed & selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation & implementation, image processing & engineering applications.

Foundations and Tools for Neural Modeling
Foundations and Tools for Neural Modeling

Author: Jose Mira

Publisher: Springer

Published: 2006-12-08

Total Pages: 890

ISBN-13: 3540487719

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This book constitutes, together with its compagnion LNCS 1607, the refereed proceedings of the International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 89 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to foundational issues of neural computation and tools for neural modeling. The papers are organized in parts on neural modeling: biophysical and structural models; plasticity phenomena: maturing, learning, and memory; and artificial intelligence and cognitive neuroscience.

Engineering Applications of Bio-Inspired Artificial Neural Networks
Engineering Applications of Bio-Inspired Artificial Neural Networks

Author: Jose Mira

Publisher: Springer

Published: 1999-05-19

Total Pages: 912

ISBN-13: 9783540660682

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This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

Tutorial on Neural Systems Modeling
Tutorial on Neural Systems Modeling

Author: Thomas J. Anastasio

Publisher: Sinauer

Published: 2010-03-01

Total Pages: 0

ISBN-13: 9780878933396

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For students of neuroscience and cognitive science who wish to explore the functioning of the brain further, but lack an extensive background in computer programming or maths, this new book makes neural systems modelling truly accessible. Short, simple MATLAB computer programs give readers all the experience necessary to run their own simulations.

Unsupervised Learning
Unsupervised Learning

Author: Geoffrey Hinton

Publisher: MIT Press

Published: 1999-05-24

Total Pages: 420

ISBN-13: 9780262581684

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Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Computational Methods in Neural Modeling
Computational Methods in Neural Modeling

Author: José Mira

Publisher: Springer

Published: 2003-08-03

Total Pages: 781

ISBN-13: 3540448683

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The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in MaÃ3, Menorca, Spain in June 2003.The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.