Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain Signals

Excerpt

arXiv:2610.08355v1 Announce Type: new Abstract: Flow-matching models start from an isotropic Gaussian source, the standard choice when the correlation structure of the data is unknown in advance. For multi-channel brain recordings, however, part of this structure is known in advance. Electrodes sit at fixed positions on the head, and volume conduction through the skull and scalp makes nearby electrodes co-vary in a way that is shared across subjects. Existing EEG generative models nonetheless le