A neuron model with fluid properties for solving labyrinthian puzzle

DOI10.1007/BF00203631zbMath0722.68092OpenAlexW1999003710MaRDI QIDQ756440

D. Kharzeev

Publication date: 1990

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00203631

zbMATH Keywords

Hopfield model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Foundations of fluid mechanics (76A02)

Related Items (2)

Robust control using inverse dynamics neurocontrollers ⋮ Self-organized formation of a set of scaling filters and their neighbouring connections

Cites Work

• ``Neural computation of decisions in optimization problems
• Neurons with graded response have collective computational properties like those of two-state neurons.

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