Recruitment learning
This book presents a fascinating and self-contained account of "recruitment learning", a model and theory of fast learning in the neocortex. In contrast to the more common attractor network paradigm for long- and short-term memory, recruitment learning focuses on one-shot learning or "...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2011. |
| シリーズ: | Studies in Computational Intelligence
303 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recruitment Learning, Texte imprimé, 9783642140273 • Recruitment Learning, Texte imprimé, 9783642265471 • Recruitment Learning, Texte imprimé, 9783642140273 • Recruitment Learning, Texte imprimé, 9783642140297 |
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| 082 | |a 519 | ||
| 100 | 1 | |a Diederich, Joachim. | |
| 245 | 1 | 0 | |a Recruitment learning |c by Joachim Diederich, Cengiz Günay, James M. Hogan. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 303 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a PART I: Recruitment in Discrete Time Neural Networks Recruitment Learning An Introduction One-shot learning - Specialization and Generalization Connectivity and Candidate Structures Representation and Recruitment Cognitive Applications PART II: Recruitment in Continuous Time Neural Networks Spiking Neural Networks and Temporal Binding Synchronised Recruitment in Cortical The Stability of Recruited Concepts Conclusions | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book presents a fascinating and self-contained account of "recruitment learning", a model and theory of fast learning in the neocortex. In contrast to the more common attractor network paradigm for long- and short-term memory, recruitment learning focuses on one-shot learning or "chunking" of arbitrary feature conjunctions that co-occur in single presentations. The book starts with a comprehensive review of the historic background of recruitment learning, putting special emphasis on the ground-breaking work of D.O. Hebb, W.A.Wickelgren, J.A.Feldman, L.G.Valiant, and L. Shastri. Afterwards a thorough mathematical analysis of the model is presented which shows that recruitment is indeed a plausible mechanism of memory formation in the neocortex. A third part extends the main concepts towards state-of-the-art spiking neuron models and dynamic synchronization as a tentative solution of the binding problem. The book further discusses the possible role of adult neurogenesis for recruitment. These recent developments put the theory of recruitment learning at the forefront of research on biologically inspired memory models and make the book an important and timely contribution to the field | ||
| 700 | 1 | |a Günay, Cengiz, |d 19..- |4 aut | |
| 700 | 1 | |a Hogan, James M. |4 aut | |
| 776 | 0 | |t Recruitment Learning |b Texte imprimé |z 9783642140273 | |
| 776 | 0 | |t Recruitment Learning |b Texte imprimé |z 9783642265471 | |
| 776 | 0 | |t Recruitment Learning |b Texte imprimé |z 9783642140273 | |
| 776 | 0 | |t Recruitment Learning |b Texte imprimé |z 9783642140297 | |
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