title: Locally optimal extracellular stimulation for chaotic desynchronization of neural populations.
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.
authors.affiliation: Department of Mechanical Engineering, University of California, Santa Barbara, CA, 93106, USA, dan.d.wilson8@gmail.com.
authors.forename: Dan
authors.initials: D
authors.lastname: Wilson
authors.forename: Jeff
authors.initials: J
authors.lastname: Moehlis
mesh_terms: D003198:Computer Simulation; D004558:Electric Stimulation / Q000379:methods*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*