The usual approach is functional connectivity: correlation, coherence, PLV, mutual information, graph edges, etc.
These methods ask whether two signals are statistically related.
SMR asks a different question:
Can one electrode’s signal be reconstructed from the rest of the array?
2/n 🧵👇
In this paper we introduce “Spatially Masked Regression” (SMR) as a reconstruction-based framework for separating local redundancy from distributed predictability in electrophysiological recordings. I...
