2015 spring BiS525 Brain Dynamics



This course is intended for graduate students in the Bio and Brain Engineering department with an interest and some background knowledge in Neuroscience. Brain dynamics is a field to aims at understanding fundamental principles underlying the information processing of the brain in mathematical and physical formalism and computational tools. This class provides the students with basics of brain dynamics. First, it introduces network structures of the brain (e.g., complex network and connectome). Then, we study dynamical properties of the brain including oscillation, synchronization, complexity, bifurcation, fractal, bursts and cortical variability, and synaptic plasticity etc. Their functional role in the brain will be discussed in the class as well.



Jeaseung Jeong (jsjeong@kaist.ac.kr, 042-350-4319)



ChungMoonSoul Building #219

Mon, Wed 10:30-12:00



3 Unints (3:0:3)



No prerequisite class



1. Mid-term Exam %

2. Final Exam %

3. 40-min oral presentation (every class) 40%

4. Attendance



Lee, Jeungmin (jmlee.812@gmail.com)
ChungMoonSoul Building 405, 407





Lecture Schedule



Lecture materials

1. small world vs. scale free

2. attact tolerance hubs

3-1. connectiomics

3-2. the origin of complexity

4. nonlinear / linear

5. fractal in the brain

7. nonlinear EEG

8. fractal

9. self organized criticality

10. stochastic resonance

11. bursting

12. Neural Synchronization

13. default mode network

14. neural synchronization

15. bayesian brain: dynamic casual modeling

16. brain engineering

17. reinforcement learning part 1

18. reinforcement learning part 2



Presentation materials