Holography in artificial neural networks

The dense interconnections that characterize neural networks are most readily implemented using optical signal processing. Optoelectronic 'neurons' fabricated from semiconducting materials can be connected by holographic images recorded in photorefractive crystals. Processes such as learning can be demonstrated using holographic optical neural networks.

[1]  P. J. van Heerden,et al.  Theory of Optical Information Storage in Solids , 1963 .

[2]  D. Gabor Associative holographic memories , 1969 .

[3]  J. Nicholls From neuron to brain , 1976 .

[4]  Carver A. Mead,et al.  Microelectronics and Computer Science , 1977 .

[5]  H. B. Brown,et al.  Application Of The Liquid Crystal Light Valve To Real-Time Optical Data Processing , 1978 .

[6]  F.J. Leonberger,et al.  Optical interconnections for VLSI systems , 1984, Proceedings of the IEEE.

[7]  J. Goodman Optical interconnection for VLSI , 1984 .

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

[9]  H. Gibbs Optical Bistability Controlling Light With Light , 1985 .

[10]  A. Yariv,et al.  Associative memories based on message-bearing optical modes in phase-conjugate resonators. , 1986, Optics letters.

[11]  D. Z. Anderson,et al.  Coherent optical eigenstate memory. , 1986, Optics letters.

[12]  B. S. Wherrett,et al.  The demonstration of restoring digital optical logic , 1987, Nature.

[13]  Demetri Psaltis,et al.  Optical Neural Computers , 1987, Topical Meeting on Optical Computing.

[14]  Peter Günter,et al.  Electro-Optic and Photorefractive Materials , 1987 .

[15]  K Wagner,et al.  Multilayer optical learning networks. , 1987, Applied optics.

[16]  N H Farhat,et al.  Optoelectronic analogs of self-programming neural nets: architecture and methodologies for implementing fast stochastic learning by simulated annealing. , 1987, Applied optics.

[17]  Electric Field Dependence of Optical Properties of Quantum Well Structures , 1987 .

[18]  G. J. Dunning,et al.  Holographic associative memory with nonlinearities in the correlation domain. , 1987, Applied optics.

[19]  D. Brady,et al.  Adaptive optical networks using photorefractive crystals. , 1988, Applied optics.

[20]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .

[21]  D. Psaltis,et al.  Volume holographic interconnections with maximal capacity and minimal cross talk , 1989 .