Author	Lytton, William W. author
Title	From Computer to Brain [electronic resource] : Foundations of Computational Neuroscience / by William W. Lytton
Imprint	New York, NY : Springer New York, 2002
Connect to	http://dx.doi.org/10.1007/b98859
Descript	XX, 364 p. online resource

Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system

Perspectives -- Computational Neuroscience and You -- Basic Neuroscience -- Computers -- Computer Representations -- The Soul of an Old Machine -- Cybernetics -- Concept Neurons -- Neural Coding -- Our Friend the Limulus -- Supervised Learning: Delta Rule and Back-Propagation -- Associative Memory Networks -- Brains -- From Soap to Volts -- Hodgkin-Huxley Model -- Compartment Modeling -- From Artificial Neural Network to Realistic Neural Network -- Neural Circuits -- The Basics

1. Mathematics
2. Neurosciences
3. Computers
4. Artificial intelligence
5. Neurobiology
6. Applied mathematics
7. Engineering mathematics
8. Biomedical engineering
9. Mathematics
10. Applications of Mathematics
11. Neurosciences
12. Artificial Intelligence (incl. Robotics)
13. Neurobiology
14. Biomedical Engineering
15. Computing Methodologies