[Eeglablist] A student inquiry about EEG source-imaging ambiguity and your group’s work

[Tranav Tyagi]

Hello Swartz Center for Computational Neuroscience (SCCN) team,

I’m Tranav Tyagi, a TKS student developing *Observable Geometry*,
exploratory software that ranks distant candidate sources whose modeled
scalp EEG patterns are similar under one participant-specific forward model
and noise covariance. It is a pre-interpretation ambiguity audit, not a
validated source-recovery method or a new inverse solver.

Would someone in the group be willing to suggest one close prior method and
one measured-data test that would establish whether this audit adds useful
information beyond existing source-resolution tools? If this is better
directed to a particular researcher, I’d be grateful if you could point me
to them or forward the note. I’m not asking anyone to install or test the
software; a short reply or one reference is enough.

Here are the Project Article
<https://urldefense.com/v3/__https://medium.com/@tranav50/when-two-brain-locations-look-alike-to-eeg-614de7c1f022__;!!Mih3wA!Al0SBcsxOaD4Lpyc9uBIK7prTe2KtkQKTExpDOrBVh-dcUU7udZoQ_CXnOXkS6gZxpSPP7anEwMT6AKE8dCSWtk$ >,
Learn Article
<https://urldefense.com/v3/__https://medium.com/@tranav50/can-we-reconstruct-everything-the-brain-is-doing-without-going-inside-3c7577f52ba8__;!!Mih3wA!Al0SBcsxOaD4Lpyc9uBIK7prTe2KtkQKTExpDOrBVh-dcUU7udZoQ_CXnOXkS6gZxpSPP7anEwMT6AKEJfBMyuA$ >,
and public repository <https://urldefense.com/v3/__https://github.com/tranav4464/observable-geometry__;!!Mih3wA!Al0SBcsxOaD4Lpyc9uBIK7prTe2KtkQKTExpDOrBVh-dcUU7udZoQ_CXnOXkS6gZxpSPP7anEwMT6AKEcNJJRBg$ >.