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Basic Concepts of Cellular Automata Read chapter Read first chapter

2012 | OriginalPaper | Chapter

Modeling Biological Neural Networks

Authors : Joaquin J. Torres, Pablo Varona

Published in: Handbook of Natural Computing

Publisher: Springer Berlin Heidelberg

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Abstract

In recent years, many new experimental studies on emerging phenomena in neural systems have been reported. The high efficiency of living neural systems to encode, process, and learn information has stimulated an increased interest among theoreticians in developing mathematical approaches and tools to model biological neural networks. In this chapter we review some of the most popular models of neurons and neural networks that help us understand how living systems perform information processing. Beyond the fundamental goal of understanding the function of the nervous system, the lessons learned from these models can also be used to build bio-inspired paradigms of artificial intelligence and robotics.

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Metadata
Title
Modeling Biological Neural Networks
Authors
Joaquin J. Torres
Pablo Varona
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Handbook of Natural Computing

Print ISBN: 978-3-540-92909-3

Electronic ISBN: 978-3-540-92910-9

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-540-92910-9_17

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