I would like to announce a new book,
From Computer to Brain: Foundations of Computational Neuroscience
by W.W. Lytton, Springer-Verlag, 2002.
http://www.springer-ny.com/computer2brain
The book gives a broad introduction to computational neuroscience,
comparing and contrasting artificial neural networks with
biologically-based approaches. It is aimed as an introduction for a
varied audience and therefore presupposes little prior knowledge,
presenting basics of computer science, neuroscience, calculus and
linear algebra as needed.
The book was designed for upper level undergrads and beginning
graduate students but would also be suitable for more advanced
students moving into computational neuroscience from a base
discipline.
A full set of simulations and exercises are available on the web
site, based on the freely available NEURON simulation environment.
TOC:
I. Perspectives: Computational Neuroscience and You; Basic Neuroscience.
II. Computers: Computer Representations; Soul of an Old Machine.
III.Cybernetics: Concept Neurons; Neural Coding;
Our Friend the Limulus; Supervised Learning: The Delta Rule and
Back-Propagation; Associative Memory Networks.
IV. From Artificial to Real: From Soap to Volts; Hodgkin-Huxley Model;
Compartment Modeling; From Artificial Neural Network to Realistic
Neural Network; Neural Circuits.
The Basics; Glossary; Index.
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