Monolithic neural network element

Radiant energy – Ionic separation or analysis – Static field-type ion path-bending selecting means

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

250214LS, 364822, 350 9614, 385 8, 385130, H01J 3150, G06F 1300, G02B 610

Patent

active

052206432

ABSTRACT:
A neural plane, which can form the basis of a neural network or a component thereof, is comprised by an optical modulator, an electrical non-linearity circuit and an optical detector interconnected whereby in use the non-linearity circuit controls the modulator in dependence on the detector output. There are parallel arrays (10, 11, 12) of such modulators, non-linearity circuits and detectors (M, T, D, 30, 33, 34). The modulator, non-linearity circuits and detectors have components formed in a common semiconductor substrate (20), for example by VLSI techniques with a silicon substrate, the modulators (30) may be comprised by liquid crystal on silicon in that case (FIGS. 4, 7).

REFERENCES:
patent: 4080617 (1978-03-01), Dyment
patent: 4696533 (1987-09-01), Kingston et al.
patent: 4729111 (1988-03-01), Arrathoon et al.
patent: 4809193 (1989-02-01), Jourjine
patent: 4860253 (1989-08-01), Owechko et al.
patent: 4934782 (1990-06-01), Soffer et al.
patent: 4985621 (1991-01-01), Aull et al.
Athale et al., "Compact Architectures for Adaptive Neural Nets", Optical Engineering, Apr. 1989, pp. 447-455.
Applied Optics vol. 26 No. 23 1st Dec. 1987 pp. 5055-5060 C. C. Guest et al. "Designs and devices for optical bidirectional associative memories".
Computer vol. 20 No. 12 Dec. 1987 pp. 9-23 J. J. Sluss et al. "An introduction to integrated optics for computing".
Optics Communications vol. 70 No. 5 1st Apr. 1989 pp. 369-372 B. Javidi et al. "Deconvolution using non-linear joint transform correlator".
"CMOS Detector Cells for Holographic Optical Interconnects in Microcircuits" W. H. Wu et al (SPIE vol. 752 Digital Optical Computing (1987) pp. 192-199).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Monolithic neural network element does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Monolithic neural network element, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Monolithic neural network element will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1049134

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.