Pattern recognition minimizes entropy production in a neural network of electrical oscillators

DOI10.1016/j.physleta.2013.08.022zbMath1301.68216OpenAlexW2026248107MaRDI QIDQ480136

Katharina Krischer, Robert W. Hölzel

Publication date: 8 December 2014

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2013.08.022

zbMATH Keywords

global couplingweak couplingoscillatory networktime-dependent coupling

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Electromagnetic theory (general) (78A25) Measures of information, entropy (94A17)

Related Items (4)

ZFD formula \(4\mathrm{I}g\mathrm{SFD}\_\mathrm{Y}\) applied to future minimization ⋮ Stability in a Hebbian Network of Kuramoto Oscillators with Second-Order Couplings for Binary Pattern Retrieve ⋮ Stability and Long Term Behavior of a Hebbian Network of Kuramoto Oscillators ⋮ Hebbian Network of Kuramoto Oscillators with Second-Order Couplings for Binary Pattern Retrieve: II. Nonorthogonal Standard Patterns and Structural Stability

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• Pattern recognition with simple oscillating circuits
• Neural networks and physical systems with emergent collective computational abilities.

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