Yearnchee Curtis Wang

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.

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.