US5129041A
Expired / Lapsed
US
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Optical neural network processing element with multiple holographic element interconnects
Assignee: Grumman Corp
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Filing: 1990-06-08
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Granted: 1992-07-07
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Expires: 2010-06-08
Abstract
Abstract A neural network processing element uses primarily optical components to model a biological neuron having both spatial and temporal dependence. The neural network processing element includes a switch-controlled laser source, a multiple holographic lens, a spatial/temporal light modulator, and a photodetector array. Laser beam control may be optical, electrical or acoustical, or a combination of these.
Inventors
- 👤 Benjamin J. Pernick
- 👤 Kenneth G. Leib
- 👤 Robert W. Brandstetter
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-25 22:54
CPC Classifications
G; G06; G06N; G06N3/00; G06N3/02; G06N3/06; G06N3/067; G06N3/0675
Claims Analysis
Total Claims: 33
Claim 1
Independent Claim
87 words
An optical neural network processing element comprising: source means for forming an input coherent light beam; multiple holographic lens means for receiving said input light beam and outputting a light beam array; modulation means for spatially modulating the output array of said multiple holographic lens means, and for temporally modulating the output array by varying a magnitude of light beams in the array over time; and photodetector means for receiving and converting the optical output of said modulation means into electrical signals representative of said modulated output.
Claim 2
Dependent Claim
87 words
An optical neural network processing element comprising: source means for forming an input coherent light beam; multiple holographic lens means for receiving said input light beam and outputting a light beam array; modulation means for spatially modulating the output array of said multiple holographic lens means, and for temporally modulating the output array by varying a magnitude of light beams in the array over time; and photodetector means for receiving and converting the optical output of said modulation means into electrical signals representative of said modulated output.
Claim 3
Dependent Claim
64 words
An output neural network processing element as claimed in claim 1, wherein said source means comprises: a laser beam source; summing means for summing signals input to said neural network processing element to produce a summed output signal; and beam controller means arranged to receive said summed signal and to modulate the output of said laser beam source in accordance with said summed signal.
Claim 4
Dependent Claim
21 words
An optical neural network processing element as claimed in claim 2, further comprising means for electrically controlling said beam controller means.
Claim 5
Dependent Claim
21 words
An optical neural network processing element as claimed in claim 2, further comprising means for optically controlling said beam controller means.
Claim 6
Dependent Claim
24 words
An optical neural network processing element as claimed in claim 2, wherein said signals input to said neural network processing element are optical signals.
Claim 7
Dependent Claim
26 words
An optical neural network processing element as claimed in claim 2, wherein said beam controller means comprises means for temporally modulating said laser beam source output.
Claim 8
Dependent Claim
36 words
An optical neural network processing element as claimed in claim 2, wherein said beam controller means comprises a Fabry-Perot interferometer for modulating said laser beam source output by controlling relative mirror spacing of said Fabry-Perot interferometer.
Claim 9
Dependent Claim
37 words
An optical neural network processing element as claimed in claim 2, wherein said beam controller means comprises a Michelson interferometer for modulating said laser beam source output by translating at least one mirror of said Michelson interferometer.
Claim 10
Dependent Claim
43 words
An optical neural network processing element as claimed in claim 1, wherein said multiple holographic lens means establishes a place of sharp focus and excludes extraneous light beams that do not form part of said output array of said multiple holographic lens means.
Claim 11
Dependent Claim
27 words
An optical neural network processing element as claimed in claim 1, further comprising a laser diode array for receiving said electrical signals output from said photodetector means.
Claim 12
Dependent Claim
87 words
An optical neural network processing element comprising: source means for forming an input coherent light beam; multiple holographic lens means for receiving said input light beam and outputting a light beam array; modulation means for spatially modulating the output array of said multiple holographic lens means, and for temporally modulating the output array by varying a polarization of light beams in the array over time; and photodetector means for receiving and converting the optical output of said modulation means into electrical signals representative of said modulated output.
Claim 13
Dependent Claim
87 words
An optical neural network processing element comprising: source means for forming an input coherent light beam; multiple holographic lens means for receiving said input light beam and outputting a light beam array; modulation means for spatially modulating the output array of said multiple holographic lens means, and for temporally modulating the output array by varying a polarization of light beams in the array over time; and photodetector means for receiving and converting the optical output of said modulation means into electrical signals representative of said modulated output.
Claim 14
Dependent Claim
43 words
An optical neural network processing element as claimed in claim 11, wherein said multiple holographic lens means establishes a plane of sharp focus and excludes extraneous light beams that do not form part of said output array of said multiple holographic lens means.
Claim 15
Dependent Claim
27 words
An optical neural network processing element as claimed in claim 11, further comprising a laser diode array for receiving said electrical signals output from said photodetector means.
Claim 16
Dependent Claim
65 words
An optical neural network processing element as claimed in claim 11, wherein said source means comprises: a laser beam source; a summing means for summing signals input to said neural network processing element to produce a summed output signal; and beam controller means arranged to receive said summed signal and to modulate the output of said laser beam source in accordance with said summed signal.
Claim 17
Dependent Claim
21 words
An optical neural network processing element as claimed in claim 11, further comprising means for electrically controlling said beam controller means.
Claim 18
Dependent Claim
21 words
An optical neural network processing element as claimed in claim 11, further comprising means for optically controlling said beam controller means.
Claim 19
Dependent Claim
24 words
An optical neural network processing element as claimed in claim 11, wherein said signals input to said neural network processing element are optical signals.
Claim 20
Dependent Claim
26 words
An optical neural network processing element as claimed in claim 11, wherein said beam controller means comprises means for temporally modulating said laser beam source output.
Claim 21
Dependent Claim
36 words
An optical neural network processing element as claimed in claim 11, wherein said beam controller means comprises a Fabry-Perot interferometer for modulating said laser beam source output by controlling relative mirror spacing of said Fabry-Perot interferometer.
Claim 22
Dependent Claim
37 words
An optical neural network processing element as claimed in claim 11, wherein said beam controller means comprises a Michelson interferometer for modulating said laser beam source output by translating at least one mirror of said Michelson interferometer.
Claim 23
Dependent Claim
87 words
An optical neural network processing element comprising: source means for forming an input coherent light beam; multiple holographic lens means for receiving said input light beam and outputting a light beam array; modulation means for spatially modulating the output array of said multiple holographic lens means, and for temporally modulating the output array by varying the phase of light beams in the array over time; and photodetector means for receiving and converting the optical output of said modulation means into electrical signals representative of said modulated output.
Claim 24
Dependent Claim
87 words
An optical neural network processing element comprising: source means for forming an input coherent light beam; multiple holographic lens means for receiving said input light beam and outputting a light beam array; modulation means for spatially modulating the output array of said multiple holographic lens means, and for temporally modulating the output array by varying the phase of light beams in the array over time; and photodetector means for receiving and converting the optical output of said modulation means into electrical signals representative of said modulated output.
Claim 25
Dependent Claim
43 words
An optical neural network processing element as claimed in claim 21 wherein said multiple holographic lens means establishes a plane of sharp focus and excludes extraneous light beams that do not form part of said output array of said multiple holographic lens means.
Claim 26
Dependent Claim
27 words
An optical neural network processing element as claimed in claim 21, further comprising a laser diode array for receiving said electrical signals output from said photodetector means.
Claim 27
Dependent Claim
65 words
An optical neural network processing element as claimed in claim 21, wherein said source means comprises: a laser beam source; a summing means for summing signals input to said neural network processing element to produce a summed output signal; and beam controller means arranged to receive said summed signal and to modulate the output of said laser beam source in accordance with said summed signal.
Claim 28
Dependent Claim
21 words
An optical neural network processing element as claimed in claim 21, further comprising means for electrically controlling said beam controller means.
Claim 29
Dependent Claim
21 words
An optical neural network processing element as claimed in claim 21, further comprising means for optically controlling said beam controller means.
Claim 30
Dependent Claim
24 words
An optical neural network processing element as claimed in claim 21, wherein said signals input to said neural network processing element are optical signals.
Claim 31
Dependent Claim
26 words
An optical neural network processing element as claimed in claim 21, wherein said beam controller means comprises means for temporally modulating said laser beam source output.
Claim 32
Dependent Claim
36 words
An optical neural network processing element as claimed in claim 21, wherein said beam controller means comprises a Fabry-Perot interferometer for modulating said laser beam source output by controlling relative mirror spacing of said Fabry-Perot interferometer.
Claim 33
Dependent Claim
37 words
An optical neural network processing element as claimed in claim 21, wherein said beam controller means comprises a Michelson interferometer for modulating said laser beam source output by translating at least one mirror of said Michelson interferometer.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1995-07-07 | 1996-01-06 | 1996-07-07 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1999-07-07 | 2000-01-06 | 2000-07-07 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2003-07-07 | 2004-01-06 | 2004-07-07 | $7700.00 | Window Closed / Lapsed |