Course 2071.402:

Course 2071.402:
Brain and Computation (2010)

School of Computer Science and Engineering, Seoul National University
Instructor: Prof. Byoung-Tak Zhang
TA: Myung Goo Kang (Office : 302-314-1, Tel : 02-880-1847)
Classroom: 302-208
Time: Thursday, 13:00~16:00
Objectives:

To understand the principles of information coding and processing in the brain.
To learn mathematical and computational tools for modeling brain function at the neuron and network levels.
To build computational models of learning and memory in the brain networks.

Textbook:

Fundamentals of Computational Neuroscience, Thomas Trappenberg, Second Edition, 2010.

References:

Principles of Neural Science, Eric R. Kandel, J.H. Schwartz, Thomas M. Jessell, 2000
Nature Neuroscience 2000 supplement - Computational Approaches to Brain Function, BI Seminar Link

Evaluation:

Mid-Term exams (45%)
Final exam (45%)
Presence and participation in discussion (10%)
Previous exams mateirals

Lecture Schedule

Title	Lecture Note
1. Introduction	Down
2. Neurons and Conductance-Based Models	Down
3. Simplified neuron and population models	Down
4. Associators and synaptic plasticity	Down
5. Cortical organization and simple networks	Down
6. Feed-forward Mapping Networks	Down
Mid-Term Exam 2010
7. Cortical feature maps and competitive population coding	Down
8. Recurrent associative networks and episodic memoey	Down
9. Modular networks, motor control, and reinforcement learning	Down
10. The cognitive brain	Down
Final Exam 2010 Final Take-Home Exam: Questions will be announced: 6/1 (Tues) Submission due: 6/14 (Mon) 11:59 PM

Lecture Board

This page is maintained by Myung Goo Kang
Last updated: May 30, 2010.