Introduction to Neural Networks

Psy 5038 Lecture notes

All lecture notes are in Mathematica Notebook format. You can either download the Mathematica files below to view (with MathReader 3.0, which is free) or to run (with Mathematica 3.0, which is not free). If you have the Adobe Acrobat plug-in, your can read pdf versions of the files directly with your browser.

The files below will be updated as the quarter progresses. If you can't wait, you can get a preview by going to last year's lecture notes.

Lecture 1 Introduction (pdf file)|Mathematica notebook

PS 1. Introduction to Mathematica , vectors, cross-correlation - Due Tuesday, April 13
(pdf file)

Lecture 2 The neuron (Part 2a pdf file)| Part 2a Mathematica notebook
Neural models (Part 2b pdf file) | Part 2b Mathematica notebook

Lecture 3 Generic neuron model (pdf file)| Mathematica notebook

Lecture 4 Vectors (pdf file)| Mathematica notebook

Lecture 5 Lateral inhibition (pdf file)| Mathematica notebook

PS 2. Lateral inhibition - Due Tuesday, April 27
(pdf file)

Lecture 6 Matrices (pdf file)| Mathematica notebook

Lecture 7 Matrices & Memory (pdf file)| Mathematica notebook

Lecture 8 Linear Associator (pdf file)| Mathematica notebook

Lecture 9 Sampling, Summed vector memory (pdf file)| Mathematica notebook

(Supplement/Review of Probability -- Mathematica notebook)

MID-TERM STUDY GUIDE

Lecture 10 Non-linear networks, Perceptron (pdf file)| Mathematica notebook

Lecture 11 Regression, Widrow-Hoff (pdf file)| Mathematica notebook

Lecture 12 - Backpropagation (pdf file)| Mathematica notebook
Backpropagation.m (Use "Save Link As", and choose the option "Source", rather than "Text")

Lecture 13 - Networks and Visual Representation (pdf file)| Mathematica notebook

Lecture 14- Principal Components Analysis and NNs (pdf file)| Mathematica notebook

Lecture 15 - Discrete Hopfield network (pdf file)| Mathematica notebook

Lecture 16 - Graded response Hopfield network (pdf file)| Mathematica notebook

FINAL STUDY GUIDE

(Supplement: Lecture 17 - Sculpting the energy function, interpolation (pdf file)| Mathematica notebook)

Lecture 18 - Boltzmann machine (pdf file)| Mathematica notebook

Lecture 19 - Adaptive maps (pdf file)| Mathematica notebook

© 1998, 1999 Computational Vision Lab, University of Minnesota, Department of Psychology.