Energy minimization in the nonlinear dynamic recurrent associative memory

DOI10.1016/j.neunet.2008.06.005zbMath1254.37057OpenAlexW2071093920WikidataQ51871856 ScholiaQ51871856MaRDI QIDQ1932072

Sébastien Hélie

Publication date: 17 January 2013

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2008.06.005

zbMATH Keywords

dynamical systemenergy functionartificial neural networkrecurrent associative memoryCohen-Grossberg theorem

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• A logical calculus of the ideas immanent in nervous activity