Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous...
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| Autore principale: | |
|---|---|
| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serie: | Lecture notes in computer science. Lecture notes in artificial intelligence
2036 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Emergent neural computational architectures based on neuroscience, towards neuroscience-inspired computing, Stefan Wermter, Jim Austin, David J. Willshaw, New York, Springer-Verlag, 2001, 1 vol. (x-576 p.), Lecture notes in computer science, 3-540-42363-X • Emergent Neural Computational Architectures Based on Neuroscience, Texte imprimé, 9783662186749 |