Voltage distributions in extracellular brain recordings
Author(s) -
Nicholas V. Swindale,
Peter F. Rowat,
Matthew R. Krause,
Martin A. Spacek,
Catalin Mitelut
Publication year - 2021
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00633.2020
Subject(s) - electroencephalography , neuroscience , electrophysiology , neural activity , transient (computer programming) , computer science , physics , pattern recognition (psychology) , artificial intelligence , psychology , operating system
We show that the voltage distributions in brain recordings, including high-pass extracellular recordings, the LFP, and human EEG, are accurately described by a Gaussian within ±1.5 standard deviations from zero, with heavy, exponential tails outside these limits. This offers a principled way of setting event detection thresholds in high-pass recordings. It also offers a means for identifying event-like, transient signals in LFP and EEG recordings which may correlate with other neural phenomena.
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