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Brain Computation: A Hands-on Guidebook
Chapter 1. Introduction
Chapter 2. Neural Modeling and Analysis
Exercise: Neural Modeling and Analysis
Chapter 3: Supervised Learning
Exercise: Supervised Learning
Chapter 4. Reinforcement Learning
Appendix: Gymnasium
Exercise: Reinforcement Learning
Chapter 5. Unsupervised Learning
Exercise: Unsupervised Learning
Chatper 6. Bayesian Approaches
Appendix: Bayesian Model Fitting by PyStan
Exercise: Bayesian Approaches
Chapter 7: Deep Learning
Exercise: Deep Learning
Chapter 8. Multiple Agents
Exercise: Multiple Agents
Chapter 9. Meta-Learning
Exercise: Meta-Learning
Chapter 10. Neural Data Analysis
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