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Journal ArticleDOI

Characteristics of sparsely encoded associative memory

Shun-ichi Amari
- 01 Jan 1989 - 
- Vol. 2, Iss: 6, pp 451-457
TLDR
It is proved that the sparsely encoded associative memory has a large basin of attraction around each memorized pattern, when and only when an activity control mechanism is attached to it.
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This article is published in Neural Networks.The article was published on 1989-01-01. It has received 204 citations till now. The article focuses on the topics: Bidirectional associative memory & Content-addressable memory.

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Citations
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Journal ArticleDOI

Hybrid computing using a neural network with dynamic external memory

TL;DR: A machine learning model called a differentiable neural computer (DNC), which consists of a neural network that can read from and write to an external memory matrix, analogous to the random-access memory in a conventional computer.
Book

Foundations of neural networks, fuzzy systems, and knowledge engineering

TL;DR: This text is the first to combine the study of neural networks and fuzzy systems, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems.
Journal ArticleDOI

Neural network computation with DNA strand displacement cascades

TL;DR: It is suggested that DNA strand displacement cascades could be used to endow autonomous chemical systems with the capability of recognizing patterns of molecular events, making decisions and responding to the environment.
Journal ArticleDOI

Differential neuronal encoding of novelty, familiarity and recency in regions of the anterior temporal lobe

TL;DR: For familiarity neurones a significant mean response decrement took 4-8 min to develop, indicating a slow underlying plastic change, in contrast to the rapid change seen for recency and novelty neurones.
Journal ArticleDOI

Associative dynamics in a chaotic neural network

TL;DR: An associative network is constructed with chaotic neuron models interconnected through a conventional auto-associative matrix of synaptic weights that shows a periodic response after a nonperiodic transient phase when the external stimulations are spatially constant.
References
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Journal ArticleDOI

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 ArticleDOI

Spin-glass models of neural networks.

TL;DR: Two dynamical models, proposed by Hopfield and Little to account for the collective behavior of neural networks, are analyzed and it is shown that the long-time behavior of the two models is identical, for all temperatures below a transition temperature ${T}_{c}$.
Journal ArticleDOI

The capacity of the Hopfield associative memory

TL;DR: In this paper, the capacity of Hopfield associative memory was studied under the assumption that every one of the m fundamental memories can be recoverable exactly, with the added restriction that all the m original memories be exactly recoverable.
Journal ArticleDOI

The space of interactions in neural network models

E. Gardner
- 07 Jan 1988 - 
TL;DR: In this paper, the typical fraction of the space of interactions between each pair of N Ising spins which solve the problem of storing a given set of p random patterns as N-bit spin configurations is considered, and a local iterative learning algorithm for updating the interactions is given which will converge to a solution of given kappa provided such solutions exist.
Journal ArticleDOI

Neuronal correlate of pictorial short-term memory in the primate temporal cortex.

TL;DR: A group of shape-selective neurons in an anterior ventral part of the temporal cortex of monkeys that exhibited sustained activity during the delay period of a visual short-term memory task are reported.
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