The Ideal Noisy Environment for Fast Neural Computation
- Author
- SI WU1 ; JIANFENG FENG2 ; AMARI, Shun-Ichi3
[1] Department of Informatics, University of Sussex, United Kingdom
[2] Department of Computer Science, Warwick University, United Kingdom
[3] Lab. for Mathematical Neuroscience, RIKEN Brain Science Institute, Japan - Conference title
- Advances in neural networks (Part I-III : ISNN 2006 : Third International Symposium on Neural Networks, Chengdu, China, May 28-June 1, 2006 : proceedings)
- Conference name
- International Symposium on Neural Networks (3 ; Chengdu 2006)
- Source
Lecture notes in computer science. 2006 ; Part I, 1-6 ; ref : 8 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-34439-X
- Scientific domain
- Control theory, operational research; Computer science; Telecommunications
- Publisher
- Springer, Berlin
/
Springer, New York
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Approche probabiliste Fenêtre temporelle Neurophysiologie Réseau neuronal Système information Système nerveux central Variance
- Keyword (en)
- Probabilistic approach Time window Neurophysiology Neural network Information system Central nervous system Variance
- Keyword (es)
- Enfoque probabilista Ventana temporal Neurofisiología Red neuronal Sistema información Sistema nervioso central Variancia
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19952573
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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