Reproducibility of in-vivo 1 electrophysiological measurements 2 in mice 3

20 Understanding whole-brain-scale electrophysiological recordings will rely on the collective work 21 of multiple labs. Because two labs recording from the same brain area often reach different 22 conclusions, it is critical to quantify and control for features that decrease reproducibility. To 23 address these issues, we formed a multi-lab collaboration using a shared, open-source 24 behavioral task and experimental apparatus. We repeatedly inserted Neuropixels multi-electrode 25 88 these results suggest that across-lab standardization of electrophysiological procedures can lead 89 to reproducible results across laboratories. 90 driven by variance between recording 170 rigs repeatedly used for probe placement within labs. We were unable to identify a prescriptive 171 analysis to predict probe placement accuracy, which may reflect that the major driver of probe 172 placement variance derives from differences in skull landmarks used for establishing the coordi- 173 nate system, and the underlying brain structures. from the shuf- 213 fled null-distribution. Because a test is performed per region-metric pair, the p-values were cor- 214 rected for multiple testing using the Benjamini-Hochberg procedure ( Seabold and Perktold, 2010 ; 215 Benjamini and Hochberg, 1995 ). We found that all electrophysiological features were reproducible 216 across laboratories for all regions studied. 217 priors from real data for simulation. We finally ran the leave-one-out analyses with GLMs/MTNN on the simulated data and compared the