Phase model-based neuron stabilization into arbitrary clusters
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Publication:1628256
DOI10.1007/S10827-018-0683-YzbMath1402.92103OpenAlexW2795918554WikidataQ88261475 ScholiaQ88261475MaRDI QIDQ1628256
Timothy D. Matchen, Jeff Moehlis
Publication date: 4 December 2018
Published in: Journal of Computational Neuroscience (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10827-018-0683-y
Related Items (5)
Analysis of neural clusters due to deep brain stimulation pulses ⋮ Phase distribution control of a population of oscillators ⋮ Phase reduction and phase-based optimal control for biological systems: a tutorial ⋮ Leveraging deep learning to control neural oscillators ⋮ Optimal open-loop desynchronization of neural oscillator populations
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- Mathematical foundations of neuroscience
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- Mathematical physiology. I: Cellular physiology
- Optimal Chaotic Desynchronization for Neural Populations
- Optimal Subharmonic Entrainment of Weakly Forced Nonlinear Oscillators
- Simulating, Analyzing, and Animating Dynamical Systems
- Sensitivity Analysis of Oscillator Models in the Space of Phase-Response Curves: Oscillators As Open Systems
- On the Phase Reduction and Response Dynamics of Neural Oscillator Populations
- Control and Synchronization of Neuron Ensembles
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