Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6268403 | Journal of Neuroscience Methods | 2015 | 14 Pages |
Abstract
Proof-of-concept testing of the SWDfinder algorithm shows: (1) a major pattern of variation in SWC morphology maps to one axis of the phase difference distribution, (2) variability between the strain-specific distributions reflects differences in the proportions of SWC subtypes generated during SWD, and (3) regularities in the spectral power and phase profiles of SWCs can be used to detect waveforms possessing SWC-like morphology.
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Authors
C.D. Richard, A. Tanenbaum, B. Audit, A. Arneodo, A. Khalil, W.N. Frankel,