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Richard E. Turner

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#machine learning Preprint Oct 2026

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...

Cameron Schofield, Luca Ghafourpour, Philip H. Wong et al. · 0 citations

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