论文信息 - All-optical neural network with inhibitory neurons.

All-optical neural network with inhibitory neurons.

A Hopfield-type neural network with only inhibitory interconnections is shown to perform similarly to networks with both inhibitory and excitatory interconnects. With the use of only inhibitory neurons the need to subtract light intensities is eliminated, so an all-optical neural network can be realized. This realization is achieved with a liquid-crystal light valve for implementing a two-dimensional array of 16 inhibitory neurons and an array of subholograms for the interconnections. Two stable states that can be retrieved from noisy optical inputs are demonstrated.

A A Friesem | I Shariv

[1] B K Jenkins,et al. Model for an incoherent optical neuron that subtracts. , 1988, Optics letters.

[2] D Psaltis,et al. Optical implementation of the Hopfield model. , 1985, Applied optics.

[3] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[4] W. P. Bleha,et al. ac liquid‐crystal light valve , 1973 .

[5] D Psaltis,et al. Optical information processing based on an associative-memory model of neural nets with thresholding and feedback. , 1985, Optics letters.

[6] S Y Lee,et al. Optical implementation of the Hopfield model for two-dimensional associative memory. , 1988, Optics letters.