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Increasing Memory Capacity and Reducing Spurious States in Neural Networks by Introducing Coherent and Collective Firing

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Publication:3628014
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DOI10.1162/neco.2008.07-08-827zbMath1178.68423OpenAlexW2124541284WikidataQ51796958 ScholiaQ51796958MaRDI QIDQ3628014

Kazuo Takatsuka, Yang Wei Koh

Publication date: 19 May 2009

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2008.07-08-827


zbMATH Keywords

Hopfield netsmultispin models


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items

Sequence Memory Based on Coherent Spin-Interaction Neural Networks



Cites Work

  • Unnamed Item
  • Long term memory storage capacity of multiconnected neural networks
  • A multineuron interaction model for neural networks
  • Random-energy model: An exactly solvable model of disordered systems
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