Neural Codes and Distributed Representations - Foundations of Neural Computation

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.

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.

Summary

This is a collection of the most significant papers that have appeared in the journal "Neural Computation" since its founding in 1989. The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modellers.

Product details

• Authors: Laurence Sejnowski Abbott
• Assisted by: Laurence Abbott (Editor), Laurence F. Abbott (Editor), Terrence J. Sejnowski (Editor)
• Publisher: The MIT Press
• Languages: English
• Product format: Paperback / Softback
• Released: 19.08.1999
• EAN: 9780262511001
• ISBN: 978-0-262-51100-1
• No. of pages: 369
• Series: Computational Neuroscience; Computational Neuroscience series
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software