EE 7153 - VLSI Design of Neural Networks

VLSI implementation of neural networks. Multilayered neural networks. Self organizing nets for pattern recognition. Integrated circuit synaptic connections. Active building blocks of the neural networks. Circuits for arithmetic functions. Analog multipliers and convolution circuits. Associative memory implementation. Optical motion sensor. Electronic neural processors.

Requisites: EE 5143
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:

Ability to design digital VLSI components in state of the art MOS technology.
Ability to design, optimize, and layout of either very high speed, high density, or low power circuits.
Understanding of impact of scaling, deep submicron effects, interconnect, signal integrity, power distribution and consumption, and timing.

Ohio University

Ohio University

EE 7153 - VLSI Design of Neural Networks