Photorefractive LiNbO3 as a storage medium for high-density optical neural networks
Tomasz P. Jannson, Chris K. Karaguleff, H. M. Stoll · Annual Meeting Optical Society of America · 1986
A basic feature of the optical neural networks (or neurooptic processors1) being developed by Northrop is that each optical synapse is identified uniquely with a single-volume holographic phase grating of grating vector K. These optical synapses occupy a single-point vicinity in Fourier space (K x ,K y ,K z ), while their biological counterparts occupy a single-point vicinity in configuration space (x,y,z). This type of neurooptic architecture evokes a number of problems fundamental to real time high-throughput optical processing. In this paper we address ourselves specifically to the problem of executing adaptive neural network algorithms using multiple-exposure Bragg holography.