Mutual information and self-control of a fully-connected low-activity neural network-Reference-Cited by-同舟云学术

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Mutual information and self-control of a fully-connected low-activity neural network

Published:2000-11 Issue:3-4 Volume:286 Page:401-416
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Bollé D,Carreta D.Dominguez

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference17 articles.

1. Neural Networks: An Introduction;Müller,1995

2. Notions of Associative Memory and Sparse Coding

3. Dynamical properties of a randomly diluted neural network with variable activity

4. Retrieval dynamics of neural networks for sparsely coded sequential patterns

5. Self-Control in Sparsely Coded Networks

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ADAPTIVE THRESHOLDS FOR NEURAL NETWORKS WITH SYNAPTIC NOISE;International Journal of Neural Systems;2007-08

2. The three-state layered neural network with finite dilution;Physica A: Statistical Mechanics and its Applications;2004-10

3. A layered neural network with three-state neurons optimizing the mutual information;Physica A: Statistical Mechanics and its Applications;2004-02

4. Time evolution of the extremely diluted Blume-Emery-Griffiths neural network;Physical Review E;2003-12-17

5. An optimal Q-state neural network using mutual information;Physics Letters A;2002-05

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