STORING LIMIT CYCLES USING DELAYED FEEDBACK NEURAL NETWORKS

DOI10.1142/S0219525908001738zbMath1168.68504OpenAlexW1980474815MaRDI QIDQ3534197

Hong Zhao, Guikun Wu

Publication date: 3 November 2008

Published in: Advances in Complex Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219525908001738

zbMATH Keywords

neural networklimit cycleattractordelayed feedbackglobal training algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Modeling Brain Function
• Competition between pattern reconstruction and sequence processing in nonsymmetric neural networks
• Transient dynamics for sequence processing neural networks
• Phase diagram and storage capacity of sequence processing neural networks
• Neural networks and physical systems with emergent collective computational abilities.
• Neurons with graded response have collective computational properties like those of two-state neurons.

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