Strategies to navigate the complexity of the brain are important for a bottom-up understanding of the function (and dysfunction) of neural circuits. The first step towards reducing complexity is to create a parts list of the individual elements comprising neural circuits. Identifying functionally distinct types of neurons enables the systematic analysis of their individual contributions to circuit function. Yet, reliable and high-throughput neuron type classification remains a challenge. Modern extracellular electrophysiological devices offer access to the activity of neural ensembles at high spatiotemporal resolution. In this study we asked if multi-scale features harvested from high-resolution extracellular electrophysiology enable reliable and high-throughput profiling of neurons into two broad functional classes: excitatory and inhibitory.