Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting.

Because neurons in vivo receive many spontaneously active excitatory and inhibitory inputs, there may be significant trial-to-trial variability in the number of spikes evoked during application of the command signal.

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