Journal ArticleDOI
All-optical implementation of a self-organizing map: a preliminary approach.
TLDR
The optical architecture proposed here is based on the principle of a resonator memory, and the main novelty lies in the two-dimensional, continuous, binary information encoding and organization.Abstract:
Optically addressed ferroelectric liquid-crystal devices present certain characteristics that make them attractive for all-optical implementations of neural architectures. This is particularly true for the implementation of analog self-organizing systems such as Kohonen's self-organizing map. The optical architecture proposed here is based on the principle of a resonator memory. The main novelty lies in the two-dimensional, continuous, binary information encoding and organization. Basic operations such as neural decision, weight updating, and information spatial ordering are investigated. The principle of a learning procedure close to the Hebbian rule is discussed.read more
Citations
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Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997
TL;DR: A comprehensive list of papers that use the Self-Organizing Map algorithms, have bene ted from them, or contain analyses of them is collected and provided both a thematic and a keyword index to help find articles of interest.
Book ChapterDOI
Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns
TL;DR: A modification of Kohonens SOFMin is presented to simulate cortical plasticity induced by coactivation patterns by introducing a probabilistic mode of stimulus presentation and substituting the winner-takes- all mechanism by selecting the winner from a set of best matching neurons.
Journal ArticleDOI
High-capacity photorefractive neural network implementing a kohonen topological map.
TL;DR: A high-capacity neural network based on volume holographic interconnections in a photorefractive crystal is designed and built and used to implement a Kohonen topological map.
Journal ArticleDOI
Optical learning neural network with a Pockels readout optical modulator
TL;DR: An optical neural-network system with learning capability by using a Pockels readout optical modulator is constructed, and the learning and recognition of four alphabetical characters are realized according to the delta rule.
Journal ArticleDOI
Topological map from a photorefractive self-organizing neural network
TL;DR: An opto-electronic self-organizing neural network able to create a topological map from a learning set of vectors to holographically record and update the neural interconnection weights in a photorefractive crystal is constructed.
References
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Journal ArticleDOI
The self-organizing map
TL;DR: The self-organizing map, an architecture suggested for artificial neural networks, is explained by presenting simulation experiments and practical applications, and an algorithm which order responses spatially is reviewed, focusing on best matching cell selection and adaptation of the weight vectors.
Journal ArticleDOI
Theory of Optical Information Storage in Solids
TL;DR: The theory of three-dimensional optical storage lends support to Beurle’s proposed mechanism of information storage in the brain, and makes three- dimensional storage very suitable for associative memories.
Journal ArticleDOI
Adaptive optical networks using photorefractive crystals.
TL;DR: The capabilities of photorefractive crystals as media for holographic interconnections in neural networks are examined and optical architectures for implementing various neural schemes are described.
Journal ArticleDOI
Topology-conserving maps for learning visuo-motor-coordination
TL;DR: It is shown that both arm kinematics and arm dynamics can be learned, if a suitable representation for the map output is used, due to the topology-conserving property of the map spatially neighboring neurons can learn cooperatively.
Journal ArticleDOI
Associative holographic memory with feedback using phase-conjugate mirrors
TL;DR: An all-optical associative memory system that uses a holographic data base and phase-conjugate mirrors to provide optical feedback, thresholding, and gain is described.