VLSI design of a dynamic neural processor for vision applications

Madan M. Gupta; Dean Hockley

doi:10.1117/12.150172

20 August 1993 VLSI design of a dynamic neural processor for vision applications

Madan M. Gupta, Dean Hockley

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150172
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

A programmable dynamic neuron with a biologically motivated design has been implemented using analog current-mode techniques. The circuit can exhibit several different processing modes with only slight adjustment in the model parameters. The relevant parameters are varied using electronically modifiable current mirrors. The circuit is very compact, and requires only around 20 transistors. In addition the circuit can be configured as a traditional neuron simply by leaving the sampling switches closed. The initial design allows that all the model parameters can be adjusted. Presently the dynamic neuron is restricted to only the nearest neighborhood connections on a chip, but this lack of connectivity can be alleviated by adopting a multiple chip processing scheme in a pyramidal architecture.

Citation Download Citation

Madan M. Gupta and Dean Hockley "VLSI design of a dynamic neural processor for vision applications", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150172

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available