Add to ORKGWe describe two experiments in optical neural computing. In the first a closed optical feedback loop is used to implement auto-associative image recall. In the second a perceptron-like learning algorithm is implemented with photorefractive holography
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. ...
Several experimental demonstrations of neural networks using coherent optics are demonstrated. An as...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
We describe two experiments in optical neural computing. In the first a closed optical feedback loop...
377 We describe two expriments in optical neural computing. In the first a closed optical feedback l...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
The dense interconnections that characterize neural networks are most readily implemented using opti...
Implementation of an opto-electronic Hopfield style associative memory neural network is discussed w...
This feature of Applied Optics is devoted to papers on the optical implementation of neural-network ...
An optical computer which performs the classification of an input object pattern into one of two lea...
A new approach to learning in a multilayer optical neural network based on holographically interconn...
In a holographic optical learning network, the decay of multiply exposed holographic interconnection...
Optical implementation of content addressable associative memory based on the Hopfield model for neu...
In recent years there has been a great interest in neural networks, since neural networks are capabl...
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. ...
Several experimental demonstrations of neural networks using coherent optics are demonstrated. An as...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
We describe two experiments in optical neural computing. In the first a closed optical feedback loop...
377 We describe two expriments in optical neural computing. In the first a closed optical feedback l...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
The dense interconnections that characterize neural networks are most readily implemented using opti...
Implementation of an opto-electronic Hopfield style associative memory neural network is discussed w...
This feature of Applied Optics is devoted to papers on the optical implementation of neural-network ...
An optical computer which performs the classification of an input object pattern into one of two lea...
A new approach to learning in a multilayer optical neural network based on holographically interconn...
In a holographic optical learning network, the decay of multiply exposed holographic interconnection...
Optical implementation of content addressable associative memory based on the Hopfield model for neu...
In recent years there has been a great interest in neural networks, since neural networks are capabl...
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. ...
Several experimental demonstrations of neural networks using coherent optics are demonstrated. An as...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...