Randall K. Powers

This study develops reverse engineering techniques to identify synaptic inputs from neuron firing patterns using supercomputers, showing they can accurately reconstruct input combinations with 75-90% variance accounted for.

This study uses computational modeling to show that hyperpolarization-activated inward currents (h-currents) can facilitate postinhibitory excitation in human motoneurons.

The paper introduces a Bayesian MCMC method with adaptive parallel tempering to estimate parameters and quantify uncertainty in Hodgkin-Huxley neuron models using voltage trace data.