Journal ArticleDOI
Non-holographic associative memory
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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.read more
Citations
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Book ChapterDOI
Incorporating Scale Invariance into the Cellular Associative Neural Network
TL;DR: An improvement to the Cellular Associative Neural Network, an architecture based on the distributed model of a cellular automaton, allowing it to perform scale invariant pattern matching, using tensor products and superposition of patterns.
Proceedings Article
Neural Networks in Video Surveillance.
TL;DR: Alfredo Petrosino University of Naples Parthenope, Naples, Italy 3.5 million euros (£3.3m; $3.8m) inowment for research and teaching, mainly in the field of archaeology and public health.
Proceedings ArticleDOI
Capacity of Neural Networks for Lifelong Learning of Composable Tasks
TL;DR: The composability requirement constrains the model to ensure that, for each association as realized by a subcircuit, the excitation in the triggering set of neurons A is quantitatively similar to that in the triggered set B, and also that the unintended excite in the rest of the system is negligible.
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
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.