Optoelectronic Neural Networks Based On Holographically Interconnected Image Processors

Y Owechko; B H Soffer; G J Dunning

doi:10.1117/12.944114

3 May 1988 Optoelectronic Neural Networks Based On Holographically Interconnected Image Processors

Y Owechko, B H Soffer, G J Dunning

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944114
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

We describe an optoelectronic resonator associative memory system which utilizes holographic interconnects. Image processing techniques are used to implement nonlinearities and feedback. We show using numerical models that both power law and sigmoidal nonlinearities improve the storage capacity. Our experimental results lead us to be optimistic that this hybrid optical/electronic approach can be extended to adaptive neural network models.

Citation Download Citation

Y Owechko, B H Soffer, and G J Dunning "Optoelectronic Neural Networks Based On Holographically Interconnected Image Processors", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944114

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