Computational neuroscience for advancing artificial intelligence models, methods and applications
Titre:
Computational neuroscience for advancing artificial intelligence models, methods and applications
ISBN (Numéro international normalisé des livres):
9781609600235
PRODUCTION_INFO:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2011.
Description physique:
electronic texts (332 p.) : ill., digital files.
Table des matières:
1. Application of connectionist models to animal learning / Robert Honey, Christopher Grand -- 2. Using computational modelling to understand cognition in the ventral visual-perirhinal pathway / Rosemary Cowell, Timothy Bussey, Lisa Saksida -- 3. Temporal uncertainty during overshadowing / Dómhnall Jennings, Eduardo Alonso, Esther Mondragón, Charlotte Bonardi -- 4. An associative approach to additivity and maximality effects on blocking / Néstor Schmajuk, Munir Kutlu -- 5. Empirical issues and theoretical mechanisms of Pavlovian conditioning / Edgar Vogel, Fernando Ponce -- 6. A primer on reinforcement learning in the brain / Elliot Ludvig, Marc Bellemare, Keir Pearson -- 7. APECS / I.P.L. McLaren -- 8. Using myoelectric signals to manipulate assisting robots and rehabilitation devices / Mohammadreza Asghari-Oskoei, Huosheng Hu -- 9. Modelling and analysis of agent behaviour / Ulrich Nehmzow -- 10. Artificial neural systems for robots / Phil Husbands, Andy Philippides, Anil Seth -- 11. Designing useful robots / David Bisset -- 12. Neural-symbolic processing in business applications / Nick Ryman-Tubb -- 13. Computational models of learning and beyond / Eduardo Alonso, Esther Mondragón.
Extrait:
"This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"-- Provided by publisher.
Accès électronique:
Full Text Available From IGI Global 2011 Packages
Langue:
Anglais