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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.
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Edward Trout
reviewed Mechanisms in Classical Conditioning: A Computational Approach on September 27, 2016 Mechanisms in Classical Conditioning: A Computational Approach
Fascinating read but quite outdated
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Add Mechanisms in Classical Conditioning: A Computational Approach, What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, attentio, Mechanisms in Classical Conditioning: A Computational Approach to your collection on WonderClub |
