<電子ブック>
From Computer to Brain : Foundations of Computational Neuroscience / by William W. Lytton
版 | 1st ed. 2002. |
---|---|
出版者 | (New York, NY : Springer New York : Imprint: Springer) |
出版年 | 2002 |
大きさ | XX, 364 p : online resource |
著者標目 | *Lytton, William W author SpringerLink (Online service) |
件 名 | LCSH:Mathematics LCSH:Neurosciences LCSH:Artificial intelligence LCSH:Biomedical engineering FREE:Applications of Mathematics FREE:Neuroscience FREE:Artificial Intelligence FREE:Biomedical Engineering and Bioengineering |
一般注記 | 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 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 HTTP:URL=https://doi.org/10.1007/b98859 |
目次/あらすじ
所蔵情報を非表示
電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
Springer eBooks | 9780387227337 |
|
電子リソース |
|
EB00196923 |
類似資料
この資料の利用統計
このページへのアクセス回数:8回
※2017年9月4日以降