Ohio University
School of Electrical Engineering and Computer Science
ECE 715- VLSI Design of NN
Course Schedule, Winter 2001
Updated Feb 27, 2001
Wk 
Date 
Subject 
Reading 
Homework
1 
Introduction
Jan 4 Class and lab organization, overview of biological neural networks notes, and ch. 4 
Neural Networks
Neural and electrical systems
Questions about neural networks		 notes, and ch. 4
Dr. J. SodhaLecture Notes: NN, West Indies 
2 
 Jan 8 Neural Networks and Pattern recognition notes, perceptron learning
read Analog VLSI, Vitoz
Generalized perceptron 3 [Pao]
read Low Power, Lazzaro
Backpropagation NN, Associative memories notes, 
read Vision Chips pp. 5-47
3 
 Jan 15 Kohonen's Neural Network, Hopfield neural net 5 [Pao]
read Vision Chips pp.48-88
Learning Vector Quantization LVQ, ARTand maxnet, Clustering, RBF Neural Network, Data Pre-processing 6 [Pao] Lecture Notes: Clustering
Web Applets for Interactive Tutorials  on Artificial Neural Learning, F. Corbett		 Lab 1 due
Support Vector Machines
The linear fit and series expansion, The functional link net
Simulated Annealing
Hodgkin-Huxley model		 genesis1
genesis 2
4 
 Jan 22 Fuzzy logic Dr. R. FullerLecture Notes: Fuzzy Decision Making, Turku 
Feature selection and fuzziness Optical Character Recognition Using Neural Networks in Java write 2-3 page summary:
The interpretation of fuzziness
Rough sets notes, Lecture Notes: Focused Reducts Lab 2 due
5
 Jan 29 notes, synapses
MOS transistors and their basic circuits ch. 3
synapse circuit
6
 Feb 5 Basic circuits for VLSI neural networks ch. 5 
VLSI NN circuits		 Lab 3 due
Winner take all and transconductance amplifier ch. 5
7
 Feb 12 Elementary arithmetic functions ch. 6
analog memory		 Submit a topic for classroom presentation
HW2 Matlab project
start with Project Training Tasks
see alsoProject discussion
Gilbert transconductance multiplier ch. 6 Submit proposal for the final design project.  Check the proposal requirements here.
8
 Feb 19 Srong inversion circuts notes Discuss your Matlab project
Cascode current mirrors and amplifiers notes
9 
 Feb 26
Design Project Presentations (schedule) HW3
10 
 Mar 5 Classroom Presentations (schedule) Present your working Matlab software - software must run bugs free.  Please be able to discuss the organization of the evolved NN
Matlab project presentations Matlab project training 0, 1,   2,   3    4  data
testing - for now test on the training data 
Mar 12 Final Projects Due Matlab project tested on the selected set of training and test data - who wins the best classification?
Notes: Chapter sections are from the text by C. Mead, "Analog VLSI and Neural Systems", Addison-Wesley, 1989,

and a reference by Yoh-Han Pao, "Adaptive Pattern Recognition and Neural Networks", Addison Wesley, 1989.

Homeworks are due by the date indicated.