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
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey ; New York
Medical Information Science Reference
[2011]
|
| Schriftenreihe: | Premier reference source
|
| Schlagworte: | |
| Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext |
| Zusammenfassung: | "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 |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | 1 Online-Ressource (xiv, 379 Seiten) |
| ISBN: | 9781609600235 |
Internformat
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| 505 | 8 | |a 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 | |
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Datensatz im Suchindex
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| contents | 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 |
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| spelling | Computational neuroscience for advancing artificial intelligence models, methods and applications Eduardo Alonso (City University London, UK), Esther Mondragón (Centre for Computational and Animal Learning Research, UK) Hershey ; New York Medical Information Science Reference [2011] © 2011 1 Online-Ressource (xiv, 379 Seiten) txt rdacontent c rdamedia cr rdacarrier Premier reference source Includes bibliographical references 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 "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 Künstliche Intelligenz Mathematisches Modell Computational neuroscience Neurosciences / Mathematical models Artificial intelligence Neurowissenschaften (DE-588)7555119-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Neurowissenschaften (DE-588)7555119-6 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Alonso, Eduardo edt Mondragon, Esther (DE-588)1131277945 edt Erscheint auch als Druck-Ausgabe 978-1-60960-021-1 Erscheint auch als Druck-Ausgabe 1-60960-021-5 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60960-021-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational neuroscience for advancing artificial intelligence models, methods and applications 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 Künstliche Intelligenz Mathematisches Modell Computational neuroscience Neurosciences / Mathematical models Artificial intelligence Neurowissenschaften (DE-588)7555119-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)7555119-6 (DE-588)4033447-8 (DE-588)4143413-4 |
| title | Computational neuroscience for advancing artificial intelligence models, methods and applications |
| title_auth | Computational neuroscience for advancing artificial intelligence models, methods and applications |
| title_exact_search | Computational neuroscience for advancing artificial intelligence models, methods and applications |
| title_full | Computational neuroscience for advancing artificial intelligence models, methods and applications Eduardo Alonso (City University London, UK), Esther Mondragón (Centre for Computational and Animal Learning Research, UK) |
| title_fullStr | Computational neuroscience for advancing artificial intelligence models, methods and applications Eduardo Alonso (City University London, UK), Esther Mondragón (Centre for Computational and Animal Learning Research, UK) |
| title_full_unstemmed | Computational neuroscience for advancing artificial intelligence models, methods and applications Eduardo Alonso (City University London, UK), Esther Mondragón (Centre for Computational and Animal Learning Research, UK) |
| title_short | Computational neuroscience for advancing artificial intelligence |
| title_sort | computational neuroscience for advancing artificial intelligence models methods and applications |
| title_sub | models, methods and applications |
| topic | Künstliche Intelligenz Mathematisches Modell Computational neuroscience Neurosciences / Mathematical models Artificial intelligence Neurowissenschaften (DE-588)7555119-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Künstliche Intelligenz Mathematisches Modell Computational neuroscience Neurosciences / Mathematical models Artificial intelligence Neurowissenschaften Aufsatzsammlung |
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