Brain, Computation, and Neural Learning
(4190.408 Artificial Intelligence, 2071.402 Brain and Computation, 2011)

  • Lecture Schedule
  • Week Topics Slides
    Week 1
    (9/1)
    • Brain Science and Artificial Intelligence
    Lecture 1
    Week 2
    (9/6, 9/8)
    • Neurons and Conductance-Based Models
    • Simplified Neuron and Population Models
    Lecture 2_1
    Lecture 2_2
    Lecture 3
    Week 3
    (9/15)
    • Associators and Synaptic Plasticity
    Lecture 4
    Week 4
    (9/20, 9/22)
    • Practice 1: Perceptrons and Associators
    Perceptron
    Hopfield_1
    Week 5
    (9/27, 9/29)
    • Announcement of Miniproject 1
    • Cortical Feature Maps and Competitive Population Coding
    Hopfield_2 & Project_1
    Lecture 5
    Week 6
    (10/4, 10/6)
    • Practice 2: Self-Organizing Maps
    SOM_1
    SOM_2
    Week 7
    (10/11, 10/13)
    • No class (10/11)
    • Exam 1 (10/13)
     
    Week 8
    (10/18, 10/20)
    • Feed-Forward Mapping Networks
    Lecture 6
    Reference_1
    Week 9
    (10/25, 10/27)
    • Practice 3: Multilayer Perceptrons
    MLP (Project2)
    Week 10
    (11/1, 11/3)
    • Support Vector Machines
    • Announcement Miniproject 2
    Lecture7 : SVM
    Week 11
    (11/8, 11/10)
    • Practice 4: Support Vector Machines

    SVM Practice

    Week 12
    (11/15, 11/17)
    • Recurrent Associative Networks and Episodic Memory

    Lecture 8

    Week 13
    (11/22, 11/24)
    • Practice 5: Deep Networks

    Deep Networks

    Week 14
    (11/29. 12/1)
    • Modular Networks, Motor Control, and Reinforcement Learning

    Lecture 9

    Week 15
    (12/6, 12/8)
    • Review (12/6)
    • Exam 2 (12/8)
     
    Week 16
    (12/13, 12/15)
    • Discussion
     

This page is maintained by Eun-Sol Kim
Last update: 2011.10.20.