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• W2104634287 abstract "We use Hamilton-Jacobi-Bellman methods to find minimum-time and energy-optimal control strategies to terminate seizure-like bursting behavior in a conductance-based neural model. Averaging is used to eliminate fast variables from the model, and a target set is defined through bifurcation analysis of the slow variables of the model. This method is illustrated for a single neuron model and for a network model to illustrate its efficacy in terminating bursting once it begins. This work represents a numerical proof-of-concept that a new class of control strategies can be employed to mitigate bursting, and could ultimately be adapted to treat medically intractible epilepsy in patient-specific models." @default.
• W2104634287 created "2016-06-24" @default.
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• W2104634287 date "2014-06-26" @default.
• W2104634287 modified "2023-09-26" @default.
• W2104634287 title "A Hamilton-Jacobi-Bellman approach for termination of seizure-like bursting" @default.
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• W2104634287 doi "https://doi.org/10.1007/s10827-014-0507-7" @default.
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