| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6269429 | Journal of Neuroscience Methods | 2013 | 20 Pages |
Abstract
⺠A statistical methodology is introduced capable of studying changes in the coupling between rhythmic local field potential (LFP) and neural spiking times. ⺠The methodology successfully deals with a problematic confounding factor present in more standard analyses based upon spike-field coherence. ⺠The method is capable of studying both per-frequency modulatory effects as well as the tendency of spiking to occur at a specific phase of a sinusoidal (LFP) rhythm. ⺠The method is effective both in simulation and when analyzing real data.
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Authors
Kyle Q. Lepage, Georgia G. Gregoriou, Mark A. Kramer, Mikio Aoi, Stephen J. Gotts, Uri T. Eden, Robert Desimone,