Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli
This work learns a conditional generative model for single-neuron electrophysiology, using flow matching with a velocity field conditioned on the input current, and shows that this model recovers both modes in each case, while a neural operator baseline suppresses spiking near threshold and blurs the gap between modes...