J
Jean-Philippe Lachaux
Researcher at French Institute of Health and Medical Research
Publications - 134
Citations - 18876
Jean-Philippe Lachaux is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Electroencephalography & Visual perception. The author has an hindex of 44, co-authored 114 publications receiving 17089 citations. Previous affiliations of Jean-Philippe Lachaux include University of Lyon & Claude Bernard University Lyon 1.
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The brainweb: phase synchronization and large-scale integration.
TL;DR: It is argued that the most plausible candidate is the formation of dynamic links mediated by synchrony over multiple frequency bands.
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Measuring phase synchrony in brain signals
TL;DR: It is argued that whereas long‐scale effects do reflect cognitive processing, short‐scale synchronies are likely to be due to volume conduction, and ways to separate such conduction effects from true signal synchrony are discussed.
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Perception's shadow: long-distance synchronization of human brain activity.
Eugenio Rodríguez,Nathalie George,Jean-Philippe Lachaux,Jacques Martinerie,Bernard Renault,Francisco J. Varela +5 more
TL;DR: In this article, the authors show that only face perception induces a long-distance pattern of synchronization, corresponding to the moment of perception itself and to the ensuing motor response, and suggest that this desynchronization reflects a process of active uncoupling of the underlying neural ensembles that is necessary to proceed from one cognitive state to another.
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Human gamma-frequency oscillations associated with attention and memory
TL;DR: Recent findings demonstrating human gamma-frequency activity associated with attention and memory in both sensory and non-sensory areas are discussed.
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Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony
Michel Le Van Quyen,Jack R. Foucher,Jean-Philippe Lachaux,Eugenio Rodríguez,Antoine Lutz,Jacques Martinerie,Francisco J. Varela +6 more
TL;DR: A direct comparison between these two methods for quantification of phase synchrony between neuronal signals on three signal sets is conducted, and it is concluded that they are fundamentally equivalent for the study of neuroelectrical signals.