Studying Single-Trials of phase Synchronous Activity in the Brain
By Jean-Philippe Lachaux, Eugenio Rodríguez, M. Le Van Quyen, Antoine Lutz, Jacques Martinerie, Francisco J. Varela. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2000
313 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/a01901b8eeb4d2dfa6f4b1cdf09307e461639c97
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
- Mark William Woolrich
- Antoine Lutz
- Stephen M. Smith
- Dimitrios Pantazis
- Sergül Aydöre
- Matthew J. Brookes
- Giles L. Colclough
- Andrew J. Quinn
Citations in the corpus
- How reliable are MEG resting-state connectivity metrics? (2016, background): “…were included in the release, but resting-state recordings that passed the quality control checks (which included tests for excessive SQUID jumps, sensible power spectra and correlations between sensors, and for sufficiently many well-behaved recording channels) were not available from six1).”
- A Note on the Phase Locking Value and its Properties (2013, methodology): “This is frequently the case in published studies, where either PLV is calculated over a short time window, or using a single time sample and averaging over trials (Hurtado et al., 2004; Lachaux et al., 2000, 2003; Rudrauf et al., 2006).”
- Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. (2001, methodology): “However, PLS is designed to detect stability of phase across the trials, while S-PLS detects stability within each trial.”
- Nonlinear multivariate analysis of neurophysiological signals. (2005, methodology): “The second approach makes use of the wavelet transform, and was recently introduced for EEG signal analysis (Lachaux et al., 2000; Lachaux et al., 1999).”