Sufficient Sampling For Kriging Prediction Of Cortical Potential In Rat, Monkey, And Human Mu Ecog

Objective. Large channel count surface-based electrophysiology arrays (e.g. mu ECoG) are high-throughput neural interfaces with good chronic stability. Electrode spacing remains ad hoc due to redundancy and nonstationarity of field dynamics. Here, we establish a criterion for electrode spacing based on the expected accuracy of predicting unsampled field potential from sampled sites. Approach. We applied spatial covariance modeling and field prediction techniques based on geospatial kriging to quantify sufficient sampling for thousands of 500 ms mu ECoG snapshots in human, monkey, and rat. We calculated a probably approximately correct (PAC) spacing based on kriging that would be required to predict mu ECoG fields at <=更多