Paper
25 October 1993 Shift-invariant optical neural network with holographic bipolar synapses
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Abstract
An optoelectronic neocognitron neural network has been built at JPL and demonstrated for various automatic target recognition applications. A new technique of constructing and storing a large holographic synapses array at the Fourier plane has enabled the shift-invariant target recognition and tracking. In this paper, a recent development of an innovative bipolar holographic synapses synthesis technique is reported. Experimental demonstration of increased discrimination capability using this bipolar synapses is also provided.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tien-Hsin Chao "Shift-invariant optical neural network with holographic bipolar synapses", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160313
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KEYWORDS
Holography

Neural networks

Holograms

Optical correlators

Multiplexing

Photodetectors

Fourier transforms

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