Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings
Neural recordings are often interpreted as local measurements, yet the signal at any one sensor can also reflect structured activity distributed across the broader network. This raises a basic question: to what extent does an electrode's signal reflect local versus distributed information in the underlying system? More specifically, how much of an electrode's activity is carried by its immediate neighborhood, and how much is embedded more broadly across the array? We address this with a Spatially Masked Regression (SMR) framework that reconstructs each electrode's timeseries from the remaining electrodes while excluding a configurable neighborhood around the target. By progressively incre...
| Authors | Maryam Ostadsharif Memar, Nima Dehghani |
|---|---|
| Primary category | q-bio.NC |
| Published | 9 June 2026 |
| Last updated at source | 9 June 2026 |
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