Computational neuroscience
The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough...
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| Auteur principal: | |
|---|---|
| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2010. |
| Collection: | Springer Optimization and Its Applications
38 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational neuroscience, [edited] by Wanpracha Chaovalitwongse, Panos M. Pardalos, Petros Xanthopoulos, New York, Springer, 2010, 1 vol. (xx-369 p.), Springer optimization and its applications, 978-0-387-88629-9 • Computational Neuroscience, Texte imprimé, 9780387886312 • Computational Neuroscience, Texte imprimé, 9781461425991 |