From Computer to Brain
Foundations of Computational Neuroscience
Résumé
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.
- Introduction
I. Perspectives: - Computational Neuroscience and You
- Basic Neuroscience
II. Computers: - Computer 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.
L'auteur - William W. Lytton
Lytton, W. W., State University of New York, Brooklyn, NY, USA
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | William W. Lytton |
| Parution | 06/11/2002 |
| Nb. de pages | 382 |
| Format | 15,5 x 23,5 |
| Couverture | Broché |
| Poids | 595g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780387955261 |
| ISBN13 | 978-0-387-95526-1 |
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