Charge-balanced Spike Timing Control for Phase Models of Spiking Neurons

This paper explores event-based feedback schemes for controlling spike timing in phase models of neurons with the constraint of a chargebalanced stimulus over a period of stimulation. We present an energy-optimal control system based on variational methods. We also present a biologicallyinspired quasi-impulsive control system that, mimicking the signaling behavior of real neurons, can achieve reference phase tracking. Applied to a pacemakerdriven ensemble, this control can achieve desynchronization using a set of charge-balanced stimuli.