Optoelectronic Neural Networks Based On Holographically Interconnected Image Processors
Y. Owechko, Bernard H. Soffer, Gilmore J. Dunning · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1988
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.