ArticleJournal of computational neuroscience2011
Control of neural synchrony using channelrhodopsin-2: a computational study.
Article in Journal of computational neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 24 citations in OpenAlex.
- Examining the low-voltage fast seizure-onset and its response to optogenetic stimulation in a biophysical network model of the hippocampus.Cognitive neurodynamics · 2024Article
- Adjacent channelrhodopsin-2 residues within transmembranes 2 and 7 regulate cation selectivity and distribution of the two open states.The Journal of biological chemistry · 2017Article
- Optogenetic versus Electrical Stimulation of Human Cardiomyocytes: Modeling Insights.Biophysical journal · 2015Article
- Cardiac optogenetics.American journal of physiology. Heart and circulatory physiology · 2013Review
- Computational optogenetics: empirically-derived voltage- and light-sensitive channelrhodopsin-2 model.PLoS computational biology · 2013Article
- Controlling the oscillation phase through precisely timed closed-loop optogenetic stimulation: a computational study.Frontiers in neural circuits · 2013Article
- A comprehensive multiscale framework for simulating optogenetics in the heart.Nature communications · 2013Article
- Phase response theory extended to nonoscillatory network components.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we present an optical stimulation based approach to induce 1:1 in-phase synchrony in a network of coupled interneurons wherein each interneuron expresses the light sensitive protein channelrhodopsin-2 (ChR2). We begin with a transition rate model for the channel kinetics of ChR2 in response to light stimulation. We then define "functional optical time response curve (fOTRC)" as a measure of the response of a periodically firing interneuron (transfected with ChR2 ion channel) to a periodic light pulse stimulation. We specifically consider the case of unidirectionally coupled (UCI) network and propose an open loop control architecture that uses light as an actuation signal to induce 1:1 in-phase synchrony in the UCI network. Using general properties of the spike time response curves (STRCs) for Type-1 neuron model (Ermentrout, Neural Comput 8:979-1001, 1996) and fOTRC, we estimate the (open loop) optimal actuation signal parameters required to induce 1:1 in-phase synchrony. We then propose a closed loop controller architecture and a controller algorithm to robustly sustain stable 1:1 in-phase synchrony in the presence of unknown deviations in the network parameters. Finally, we test the performance of this closed-loop controller in a network of mutually coupled (MCI) interneurons.
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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.