ArticleJournal of computational neuroscience2014
Locally optimal extracellular stimulation for chaotic desynchronization of neural populations.
Article in Journal of computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- In vivo efficacy of current stimuli computed by optimal tracking of neuron membrane voltage.PloS one · 2026Article
- Magnitude-constrained optimal chaotic desynchronization of neural populations.Frontiers in network physiology · 2025Article
- Engineering spatiotemporal patterns: information encoding, processing, and controllability in oscillator ensembles.Biomedical physics & engineering express · 2023Article
- Leveraging deep learning to control neural oscillators.Biological cybernetics · 2021Article
- Optimizing deep brain stimulation based on isostable amplitude in essential tremor patient models.Journal of neural engineering · 2021Article
- Stabilization of Weakly Unstable Fixed Points as a Common Dynamical Mechanism of High-Frequency Electrical Stimulation.Scientific reports · 2020Article
- Emerging technologies for improved deep brain stimulation.Nature biotechnology · 2019Review
- Phase-Dependent Suppression of Beta Oscillations in Parkinson's Disease Patients.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Controlling Synchronization of Spiking Neuronal Networks by Harnessing Synaptic Plasticity.Frontiers in computational neuroscience · 2019Article
- Numerical optimization of coordinated reset stimulation for desynchronizing neuronal network dynamics.Journal of computational neuroscience · 2018Article
- Evolution of extrema features reveals optimal stimuli for biological state transitions.Scientific reports · 2018Article
- Review
- Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective.Frontiers in computational neuroscience · 2018Article
- Algorithmic design of a noise-resistant and efficient closed-loop deep brain stimulation system: A computational approach.PloS one · 2017Article
- Optimal entrainment of heterogeneous noisy neurons.Frontiers in neuroscience · 2015Article
- An energy-optimal approach for entrainment of uncertain circadian oscillators.Biophysical journal · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We use optimal control theory to design a methodology to find locally optimal stimuli for desynchronization of a model of neurons with extracellular stimulation. This methodology yields stimuli which lead to positive Lyapunov exponents, and hence desynchronizes a neural population. We analyze this methodology in the presence of interneuron coupling to make predictions about the strength of stimulation required to overcome synchronizing effects of coupling. This methodology suggests a powerful alternative to pulsatile stimuli for deep brain stimulation as it uses less energy than pulsatile stimuli, and could eliminate the time consuming tuning process.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.