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Informationen zum Autor Dr Schmajuk has been an Associate Professor of Biomedical Engineering in Buenos Aires (Argentina), an Assistant Professor of Psychology at Northwestern University, and is presently a Professor of Psychology and Neuroscience at Duke University. Here he has developed several neural network models of classical conditioning, operant conditioning, animal communication, creativity, spatial learning, cognitive mapping and prepulse inhibition. Previous books by this author include Animal Learning and Cognition: A Neural Network Approach, 1997. Klappentext A neural network view of the processes involved in classical conditioning using computational simulations to analyse actual experimental data. Zusammenfassung Written for graduates and researchers in neuroscience! computer science! biomedical engineering and psychology! the author presents a number of neural network models that incorporate associative! attentional! configural and timing mechanisms and shows! through computer simulations! how they explain the multiple properties of associative learning. Inhaltsverzeichnis Part I. Introduction: 1. Classical conditioning: data and theories; Part II. Attentional and Associative Mechanisms: 2. An attentional-associative model of conditioning; 3. Simple and compound conditioning; 4. The neurobiology of classical conditioning; 5. Latent inhibition; 6. The neurobiology of latent inhibition; 7. Creativity; 8. Blocking and overshadowing; 9. Extinction; 10. The neurobiology of extinction; Part III. Configural Mechanisms: 11. A configural model of conditioning; 12. Occasion setting; 13. The neurobiology of occasion setting; Part IV. Attentional, Associative, Configural, and Timing Mechanisms: 14. Configuration and timing: timing and occasion setting; 15. Attention and configuration: extinction cues; 16. Attention, association and configuration: causal learning and inferential reasoning; Part V. Conclusion: Mechanisms of classical conditioning....
