2014 spring BiS525 Brain Dynamics

 

Synopsis 

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.

 

Professor

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

 

Class

ChungMoonSoul Building #220

Mon, Wed 14:30-16:00

 

Credit

3 Unints (3:0:3)

 

Prerequisite

No prerequisite class

 

Grading

1. Mid-term Exam 35%

2. Final Exam 35%

3. 15-min oral presentation (every class) 30%

 

Office Hours

Tue, Thur 2:00-4:00 pm (appointment-based, CMS building, #1109, 042-350-4319)

 

TA

Yoon, Sangsup (yoonsangsup@gmail.com) / Lee, Yong-il (lyikorea@kaist.edu)
ChungMoonSoul Building 405, 407

 

Textbook

None

 

Lecture Schedule

Syllabus

Week

Date

Topic

Article

Presenter

1

3.3

Introduction

Syllabus

J Jeong

3.5

Small world vs. Scale-free

Presentation materials

J Jeong

2

3.10

Attack tolerance vs. Lethality

Presentation materials

J Jeong

3.12

Origin of Complexity

Presentation materials

J Jeong

3

3.17

Connectome

Presentation materials

Pachaya

3.19

Linear vs. Nonlinear

Presentation materials

Thongpaibool

4

3.24

Chaos in the Brain I

Presentation materials

장재선

3.26

Chaos in the Brain II

Presentation materials

안소영

5

3.31

Fractal Dynamics

Presentation materials

안성근

4.2

Non-poisson process

Presentation materials

Hilola

6

4.7

Bifurcation

Presentation materials

A related article

박하람

4.9

Self-organized Criticality

Presentation materials

김재웅

황중식

7

4.14

Slow Oscillation I

Presentation materials

Cross-Frequency Phase–Phase Coupling

도원준

4.16

Theta-gamma oscillation

Presentation materials

A related article

최민서

임이삭

이슬이

8

4.21

no class

Mid-term Exam

4.23

no class

9

4.28

Fast Oscillation I

Presentation materials

A related article

최연수

4.30

Fast Oscillation II

Presentation materials

A related article

박주희

10

5.5

no class

5.7

Bursting

Presentation materials

정민주

11

5.12

Stochastic Resonance

Presentation materials

A related article

최우철

5.14

Synchronization I

Presentation materials

A related article

이현수

12

5.19

Synchronization II

Presentation materials

A related article

Hatice

박기범

(5.21)

5.19

Information Theory

for the Brain

Presentation materials

A related article

김선일

Ahmadreza

13

5.26

Pattern Formation

Presentation materials

A related article

이상연

5.28

default mode network I

Presentation materials

서지혜

14

6.2

default mode network II

Presentation materials

A related article

이정민

6.4

Reinforcement Learning

Presentation materials

A related article

15

6.9

Habit Learning

Presentation materials

A related article

장현우

6.11

goal-directed vs. habit

Presentation materials

A related article

정혜원

16

6.16

no class

Final Exam

6.18

no class

 

The list of the articles for class material

Week 3. Connectome

Towlson EK, Vértes PE, Ahnert SE, Schafer WR, Bullmore ET. The rich club of the C. elegans neuronal connectome. J Neurosci. 2013 Apr 10;33(15):6380-7. doi: 10.1523/JNEUROSCI.3784-12.2013