CMSC 727: Neural Modeling - Fall 2008


Lectures and Assignments

These abbreviations are used in the following assignments:


Course Summary and Reading Assignments
 Date Lecture Topics Assigned Readings
9/2 How the Brain Computes
    (Lecture Slides)
G. Fischbach: Mind and Brain, Scientific American, Sept 1992, 48 - 57 (pdf)
9/4 Learning   (Lecture Slides)
Neural Computation   (Slides)
Mehrotra, Chap. 1
Demuth, Chap. 1 and 2
9/9 Logical Neurons
 
Perceptron Basics
    (Lecture Slides)
Matlab Assignments
Griffith J, Mathematical Neurobiology, 1971, 29-32 (pdf)
Mehrotra, Sects. 2.1, 2.2
 
(see Useful Links off class page)
9/11 Neural Network Toolbox
Perceptron Properties
 
Demuth, Chap. 3
 
(Assignment 1 out; due 11 AM 9/25)
9/16 Perceptron Properties
Perceptron Learning
 
Mehrotra, Sects. 2.3-2.5.1
9/18 Perceptrons: Practical Issues
Linear Associative Memory
    (Lecture Slides)
LMS Learning Preliminaries
 
 
 
Mehrotra Sect. 2.5.2-2.6
9/23 LMS Rule
Hebb's Rule
 
Demuth 4.1-8, 4.13-19
Mehrotra pp. 217-222
(Assignment 2 out; due 11 AM 10/2)
9/25 Linear Nets (concluded)
Error Backpropagation
    (Lecture Slides)



Mehrotra Sects. 3.1-3.3
Rumelhart et al: Learning Representations by BackPropagating Errors, Nature, 329, 1986, 533-6 (pdf)  
9/30 Review Assignment 1
EBP Derivation
Representation
    (Lecture Slides)
 
 
Mehrotra, Sects. 3.4 - 3.5 (omit 3.5.3)
 
10/2 EBP in Practice
EBP Learning Variations
 
 
 
 
Demuth, 5.1-5.22
Reidmiller, RPROP Algorithm, Proc. ICNN, 1993, 586 - 591 (pdf)
(Assignment 3 out; due 10/16 and 10/19)
10/7 Review Assignment 2
EBP Issues and Variations
 
Mehrotra, Sects. 4.3.2, 4.5, 4.6
10/9 Data Separation, Regularization
EBP Applications
    (Lecture Slides)
 
 
Mehrotra, Sects. 3.7, 3.8
Pazzani M & Dyer M, Concept Identification, Proc. 10th IJCAI, 1987, 147-150 (pdf)
10/14 Hidden Layer Analysis
    (Lecture Slides)
Dynamic Architectures
    (Lecture Slides)
RBF Networks
 
 
Mehrotra, Sects. 4.2-4.2.2, 4.2.5
 
Mehrotra, Sect. 4.4
10/16 RBF Networks
TBA
 
TBA
10/X TBA TBA


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