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Francisco J. Varela

Researcher at Centre national de la recherche scientifique

Publications -  5
Citations -  10792

Francisco J. Varela is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Surrogate data & Electroencephalography Phase Synchronization. The author has an hindex of 5, co-authored 5 publications receiving 9869 citations.

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Journal ArticleDOI

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.

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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Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony

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.
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Studying single-trials of phase synchronous activity in the brain

TL;DR: This paper introduces a new method, single-trial phase locking statistics (S-PLS), to estimate phase locking in single trials of brain signals between two electrodes, and compares these results with those provided by PLS and shows that they are qualitatively very similar, although S-PLs provides better discrimination of synchronic episodes.