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:
  • References:
  • Evaluation:

  • Lecture Schedule
  • Title

    Lecture Note

    1. Introduction

    Down

    2. Neurons and Conductance-Based Models

    3. Simplified neuron and population models

    4. Associators and synaptic plasticity

    5. Cortical organization and simple networks

    6. Feed-forward Mapping Networks 

    Mid-Term Exam 2010

    7. Cortical feature maps and competitive population coding

    8. Recurrent associative networks and episodic memoey

    9. Modular networks, motor control, and reinforcement learning

    10. The cognitive brain

    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.