Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli
cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/neuraloperator/noble
Terminology
Sources
- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
- Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
- Physically constrained neural networks to solve the inverse problem for neuron models
- An efficient wavelet-based physics-informed neural network for multiscale problems
- Flow Matching Guide and Code
- Consistency Models
- Progressive Distillation for Fast Sampling of Diffusion Models
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