Courses

Course Materials

• Computational Methods (B22, Term 1)
• Statistical Methods (B07, Term 2)
• Adaptive Systems (A101, Term 3)

• Introduction to Neuroscience (B26, Term 1)
  • slides
  • codes

Okinawa Computational Neuroscience Course (OCNC)

The course materials are in Jupyter notebooks, with their outputs in pdf.

Reinforcement Learning and Bayesian Inference (2024) [pdf]

• Introduction to numerical methods for differential equations 
  • Introduction to Python [pdf]
  • Introduction to differential equations [pdf]
• Introduction to reinforcement learning and Bayesian inference [pdf]
  • ​RL.ipynb [pdf]
  • Bayesian.ipynb​ [pdf]
• Tutorial on behavioral modeling by PyStan
  • ​PyStanTutorial2024.zip