Course 2071.402:
Brain and Computation (2009)

 
  • School of Computer Science and Engineering, Seoul National University
  • Instructor: Prof. Byoung-Tak Zhang
  • TA: Hoon-Hee Kim (Office : 138-409, Tel : 02-880-5890)
  • Classroom: 83-501
  • Time: Thursday, 14:30~17:30
  • 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:
    • Mid-Term exams (45%)
    • Final exam  (45%)
    • Presence and participation in discussion (10%)

  • Lecuture Schedule
  • Title

    Lecture Note

    1. Introduction
    2. Neurons and Conductance-Based Models
    3. Spiking Neurons and Response Variability
    4. Neurons in a Network

    5. Representations and The Neural Code
    6. Feed-forward Mapping Networks
        Mid-Term Exam
    7. Associators and Synaptic Plasticity
    8. Auto-associative Memory and Network Dynamics
    9. Continuous Attractor and Competitive Networks
    10. Supervised Learning and Rewards Systems
    11. System Level Organization and Coupled Networks
        Final Exam

    Down
    Down
    Down
    Down
    Down
    Down

    Down
    Down
    Down

    Down
    Down
     


  • Lecuture Board

  • This page is maintained by Hoon-Hee Kim
    Last updated: March 4, 2009.