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- Title
Control of neural synchrony using channelrhodopsin-2: a computational study.
- Authors
Talathi, Sachin; Carney, Paul; Khargonekar, Pramod
- 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, ) 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.
- Subjects
BRAIN stimulation; INTERNEURONS; RHODOPSIN; PROTEINS; ALGORITHMS; MATHEMATICAL models; ION channels; BIOLOGICAL neural networks; COMPUTATIONAL neuroscience
- Publication
Journal of Computational Neuroscience, 2011, Vol 31, Issue 1, p87
- ISSN
0929-5313
- Publication type
Article
- DOI
10.1007/s10827-010-0296-6