Estimating the time-course of coherence between single-trial brain signals: an introduction to wavelet coherence.
By Jean-Philippe Lachaux, Antoine Lutz, D. Rudrauf, Diego Cosmelli, M. Le Van Quyen, Jacques Martinerie, Francisco J. Varela. Neurophysiologie clinique, 2002
396 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/2aee2863cdf7033d9bc1a2b321489eb865ca1a94
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Jean M. Vettel
- F. de Vico Fallani
- Jacques Martinerie
- D. Bassett
- Jean-Philippe Lachaux
- P. Kahane
- Olaf Sporns
- E. Bullmore
In Computer Networks and Communications
In Statistical and Nonlinear Physics
- F. de Vico Fallani
- D. Bassett
- Jean M. Vettel
- Fabio Pasqualetti
- J. Stiso
- E. Bullmore
- Alan C. Evans
- Olaf Sporns
Citations in the corpus
- Broadband Criticality of Human Brain Network Synchronization (2009, neutral): “[20,21], see Pereda et al.”
- The many faces of the gamma band response to complex visual stimuli (2005, methodology): “We used a wavelet-based estimation of synchrony to test for possible phase-locking between certain spectral components of the response (beta and gamma responses) (Lachaux et al., 2002).”
- Recent advances in wavelet analyses: Part 1. A review of concepts (2005, background): “The scalar d represents the size of the twodimensional filter (Lachaux et al., 2002).”
- Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior (2019, methodology): “The cross spectrum is then estimated using wavelet coherence [65] in each of three frequency bands of interest (α 7–14 Hz, β 15–25 Hz, and γ 30–45 Hz), with wavelets centered on each timepoint.”