Leveraging deep learning to control neural oscillators

DOI10.1007/s00422-021-00874-wzbMath1471.92029OpenAlexW3157621530MaRDI QIDQ1981958

Timothy D. Matchen, Jeff Moehlis

Publication date: 7 September 2021

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

Full work available at URL: https://doi.org/10.1007/s00422-021-00874-w

zbMATH Keywords

controldynamic programmingclusteringneuronsmachine learningoscillators

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Neural networks for/in biological studies, artificial life and related topics (92B20) Biological rhythms and synchronization (92B25)

Cites Work

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• On the Phase Reduction and Response Dynamics of Neural Oscillator Populations
• Control and Synchronization of Neuron Ensembles
• Approximation by superpositions of a sigmoidal function
• The geometry of biological time.

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