Author

C. Anastassiou

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#machine learning Preprint Sep 2026

Capturing Membrane Dynamics and Spike Timing of Human Neurons at Scale using Neural Operators

Characterizing the properties of neuronal cell types is central to understanding brain function. Yet, biophysically realistic neuron models remain difficult to scale to large populations while preserving the richness of cellular dynamics and within-cell-type variability. We present a cell-type-specific neural-operator...

Luca Ghafourpour, Cindy Zhao, Valentin Duruisseaux et al. · 0 citations

#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. · bioRxiv · 0 citations