distinct and different electrophysiological features depending on their responsiveness to Li. Training a Naïve Bayes (NB) classifier on the electrophysiological features of known patients can successfully predict the responsiveness of an unknown patient to Li. The electrophysiological feature that is shared by the neurons from the two subgroups of BD patients is a large, fast after-hyperpolarization (AHP), which we suggest is a key to the BD neurons’ fast spiking abilities.
