Journal ArticleDOI
Improved bidirectional retrieval of sparse patterns stored by Hebbian learning
Friedrich T. Sommer,Günther Palm +1 more
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TLDR
The improved BAM model opens interesting new perspectives in information retrieval it allows efficient data access providing segmentation of ambiguous user input, relevance feedback and relevance ranking, and the implication of this for a more flexible version of Hebbian cell-assemblies.About:
This article is published in Neural Networks.The article was published on 1999-03-01. It has received 76 citations till now. The article focuses on the topics: Bidirectional associative memory & Content-addressable memory.read more
Citations
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Memory capacities for synaptic and structural plasticity
TL;DR: This work analyzes operating regimes in the Willshaw model in which structural plasticity can compress the network structure and push performance to the theoretical benchmark and introduces fair measures for information-theoretic capacity in associative memory that also provide a theoretical benchmark.
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Neural associative memories and sparse coding
TL;DR: The theoretical, practical and technical development of neural associative memories during the last 40 years is described and the importance of sparse coding of associative memory patterns is pointed out.
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The moderating role of familiarity in rural tourism in Spain
TL;DR: In this paper, the authors examine how tourists' attitudes toward rural tourism, as a new form of tourism, can affect both the quality and the satisfaction that the tourist associates with a specific facility.
Posted Content
How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites.
Subutai Ahmad,Jeff Hawkins +1 more
TL;DR: The theory provides a mathematical framework for understanding the benefits and limits of sparse representations in cortical networks and shows that pattern recognition by a neuron with active dendrites can be extremely accurate and robust with high dimensional sparse inputs even when using a tiny number of synapses to recognize large patterns.
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Associative memory in networks of spiking neurons.
TL;DR: A computational model of a network of cortical neurons on the base of biophysically well constrained and tested two-compartmental neurons developed by Pinsky and Rinzel is developed and investigated, comparable to optimally tuned formal associative networks.
References
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Neural networks and physical systems with emergent collective computational abilities
TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.
Journal Article
The mathematical theory of communication
Claude E. Shannon,Warren Weaver +1 more
TL;DR: The Mathematical Theory of Communication (MTOC) as discussed by the authors was originally published as a paper on communication theory more than fifty years ago and has since gone through four hardcover and sixteen paperback printings.
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A logical calculus of the ideas immanent in nervous activity
Warren S. McCulloch,Walter Pitts +1 more
TL;DR: In this article, it is shown that many particular choices among possible neurophysiological assumptions are equivalent, in the sense that for every net behaving under one assumption, there exists another net which behaves under another and gives the same results, although perhaps not in the same time.
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Distributed Hierarchical Processing in the Primate Cerebral Cortex
TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.
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