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C. Anastassiou

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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
Open access Aug 2026

Selective gating of neural modulation through frequency- and behavior-dependent modes during cortical electrical stimulation

By identifying how stimulation frequency governs the mechanism of neural engagement and how behavioral state selectively gates brain-wide entrainment but not local inhibitory recruitment, the results provide a mechanistic foundation for designing targeted, reproducible neuromodulation strategies.

I. Rembado, Soo Yeun Lee, L. Marks et al. · 0 citations

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