Functional and Structural Connectome of Reinforcement Learning

Functional and Structural Connectome of Reinforcement Learning

MGH Martinos Center via YouTube Direct link

Intro

1 of 18

1 of 18

Intro

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Functional and Structural Connectome of Reinforcement Learning

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  1. 1 Intro
  2. 2 Neural Substrate of Prediction Error
  3. 3 What are Computational Models?
  4. 4 Can Computational Models help?
  5. 5 Anatomy of Reinforcement Learning
  6. 6 Reinforcement Learning Circuitry
  7. 7 Reinforcement Learning in Depression
  8. 8 RL based Decision Making
  9. 9 RL heterogeneity and Neural Correlates
  10. 10 Identifying Structural Connectome of RL
  11. 11 Identifying Functional Connectome of RL
  12. 12 DSM-V Major Depressive Disorder
  13. 13 Can we use Reinforcement Learning to parse heterogeneity?
  14. 14 Parsing heterogeneity and Identifying biotypes
  15. 15 Multimodal Imaging Data fusion
  16. 16 Multimodal Data fusion Steps
  17. 17 Delay-Discount Factor
  18. 18 DLPFC Multimodal Brain Pattern (n=1103)

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