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Journal ArticleDOI

Non-holographic associative memory

David Willshaw, +2 more
- 01 Jan 1988 - 
- Vol. 222, Iss: 5197, pp 151-156
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TLDR
The features of a hologram that commend it as a model of associative memory can be improved on by other devices.
Abstract
The features of a hologram that commend it as a model of associative memory can be improved on by other devices.

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Citations
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Dissertation

Merging chrominance and luminance in early, medium, and late fusion using Convolutional Neural Networks

TL;DR: Aquesta memoria demostra the possibilitat d'utilitzar tecniques d'aprenentatge multi-modal en xarxes neuronals convolucionals per classificar imatges.
Journal ArticleDOI

Information capacity of outer-product neural networks

TL;DR: In this paper, the information capacity of two classes of neural network models using the outer-product (hebbian) storage rule was investigated, and it was shown that the total information stored in these systems is a constant times the number connections in the network, independent of the particular model, the order of the model, or whether clipped weights are used or not.
Proceedings ArticleDOI

Nearest Neighbour Search using binary neural networks

TL;DR: This paper proposes to combine Product Quantization (PQ) and binary neural associative memories to perform the coarse search, finding nearest neighbours in terms of Euclidean distance, Hamming distance or other distance metric.
Journal ArticleDOI

Thresholds in layered neural networks with variable activity

TL;DR: In this article, the authors studied the effect of a threshold in the dynamics of layered neural networks with variable activity at arbitrary temperature on the retrieval quality of a self-controlled threshold obtained by forcing the neural activity to stay equal to the activity of the stored patterns during the whole retrieval process.
Journal ArticleDOI

Are binary synapses superior to graded weight representations in stochastic attractor networks

TL;DR: The results show that a binary weight representation is not less susceptible to noise than a graded weight representation in stochastic attractor models, and it is found that the load capacities with an increasing number of weight states rapidly reach the load capacity with graded weights.
References
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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

The neurophysiology of remembering.

Journal ArticleDOI

Holographic Model of Temporal Recall

TL;DR: It is shown that there is at least one other mathematical model, which is considered to be a closer analogue of holography, because it operates with triple products of the temporal function to be recognized or recalled.
Journal ArticleDOI

Improved holographic model of temporal recall.

TL;DR: The modified static system described here is an alternative to Longuet-Higgins' model and takes account of the weaknesses of the nervous system as well as of its powers to imitate human memory with models.
Journal ArticleDOI

The Classification of Modifiable Synapses and Their Use In Models For Conditioning

TL;DR: It is argued that if the conditioning and memory mechanisms of the nervous system store information by means of modifiable synapses, some of these must be of class B or C, and if the models are to be given the property of extinction, classical conditioning requires modifiablesynapses of classes A and B or of class C.