Limitations Of Opto-Electronic Neural Networks

Jeffrey Yu; Alan Johnston; Demetri Psaltis; David Brady

doi:10.1117/12.951514

29 June 1989 Limitations Of Opto-Electronic Neural Networks

Jeffrey Yu, Alan Johnston, Demetri Psaltis, David Brady

Proceedings Volume 1053, Optical Pattern Recognition; (1989) https://doi.org/10.1117/12.951514
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

Neural networks are composed of three components: neurons, weights, and connections. Limitation on implementing these components in electronics and optics are discussed. We show that using electronically fabricated neurons and a combination of optics and electronics for the weights and connections efficiently utilizes the advantage of each technology. The choice of the technology used to implement the weights and connections depends on the type of neural network being built.

Citation Download Citation

Jeffrey Yu, Alan Johnston, Demetri Psaltis, and David Brady "Limitations Of Opto-Electronic Neural Networks", Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); https://doi.org/10.1117/12.951514

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