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
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Distinctive features, categorical perception, and probability learning: some applications of a neural model
TL;DR: The model can predict overshooting, recency data, and probabilities occurring in systems with more than two events with reasonably good accuracy and applies the model to "categorical perception" and probability learning.
Journal ArticleDOI
Quenched versus annealed dilution in neural networks
TL;DR: In this paper, the capacity for storing random patterns in a diluted neural network is determined following the method of Gardner, where two types of dilution are considered: quenched and annealed.
Journal ArticleDOI
Closed-form expressions for the moments of the binomial probability distribution ∗
TL;DR: This work develops closed-form expressions for the raw and central moments of the binomial probability distribution from the moment generating function and discusses an application of these formulae to the analysis of neural associative memory.
Journal ArticleDOI
Connectionist Sentence Processing in Perspective
TL;DR: It is argued that the Simple Recurrent Network models proposed by Jordan (1989) and Elman (1990) are more directly related to stochastic Part-of-Speech Taggers than to parsers or grammars as such, while auto-associative memory models of the kind pioneered by Longuet–Higgins, Willshaw, Pollack and others may be useful for grammar induction from a network-based conceptual structure.
Journal ArticleDOI
Pattern matching and associative artificial neural networks for water distribution system time series data analysis
TL;DR: A protocol for applying pattern matching to automatically recognise specific waveforms in time series based on their shapes is described together with a system called Advanced Uncertain Reasoning Architecture (AURA) Alert for autonomous determination of novelty.
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.
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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.
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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.
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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.