Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations collects, by topic, the most significant papers that have appeared in the journal over the past nine years.The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modelers. The topics addressed are: how neurons encode information through action potential firing patterns, how populations of neurons represent information, and how individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains. The papers encompass a wide range of levels of investigation, from dendrites and neurons to networks and systems.
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About the Author
Terrence J. Sejnowski is Francis Crick Professor, Director of the Computational Neurobiology Laboratory, and a Howard Hughes Medical Institute Investigator at the Salk Institute for Biological Studies and Professor of Biology at the University of California, San Diego.
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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10
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- Graphical Models: Foundations of Neural Computation (Computational Neuroscience) by Michael I. Jordan in Front Matter (1), and Front Matter (2)
- Independent Component Analysis: Principles and Practice by Stephen Roberts in Back Matter
- Face Image Analysis by Unsupervised Learning (The Kluwer International Series in Engineering and Computer Science, Volume 612) (The Springer International Series in Engineering and Computer Science) by Marian Stewart Bartlett on page 5
- Self-Organizing Map Formation: Foundations of Neural Computation (Computational Neuroscience) by Klaus Obermayer in Front Matter
- Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience) by Geoffrey Hinton in Front Matter
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