Computational neuroscience for advancing artificial intelligence models, methods and applications

"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

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Bibliographische Detailangaben
Weitere Verfasser: Alonso, Eduardo (HerausgeberIn), Mondragon, Esther (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey ; New York Medical Information Science Reference [2011]
Schriftenreihe:Premier reference source
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Online-Zugang:DE-706
DE-1049
DE-898
DE-1050
DE-83
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Inhaltsangabe:
  • 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 / D omhnall Jennings, Eduardo Alonso, Esther Mondrag on, Charlotte Bonardi
  • 4. An associative approach to additivity and maximality effects on blocking / N estor 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 Mondrag on