L
Luiz A. Baccalá
Researcher at University of São Paulo
Publications - 84
Citations - 4849
Luiz A. Baccalá is an academic researcher from University of São Paulo. The author has contributed to research in topics: Coherence (statistics) & Somatosensory system. The author has an hindex of 23, co-authored 81 publications receiving 4437 citations. Previous affiliations of Luiz A. Baccalá include University of Pennsylvania.
Papers
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Journal ArticleDOI
Partial directed coherence: a new concept in neural structure determination
Luiz A. Baccalá,Koichi Sameshima +1 more
TL;DR: In this paper, a frequency-domain approach to describe the relationships between multivariate time series based on the decomposition of multivariate partial coherences computed from multivariate autoregressive models is introduced.
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Sensorimotor encoding by synchronous neural ensemble activity at multiple levels of the somatosensory system
TL;DR: Multilevel synchronous activity in the rat trigeminal somatosensory system may encode not only sensory information but also the onset and temporal domain of tactile exploratory movements.
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Comparison of different cortical connectivity estimators for high-resolution EEG recordings.
Laura Astolfi,Febo Cincotti,Donatella Mattia,M. Grazia Marciani,Luiz A. Baccalá,Fabrizio De Vico Fallani,Serenella Salinari,Mauro Ursino,Melissa Zavaglia,Lei Ding,J. Christopher Edgar,Gregory A. Miller,Bin He,Fabio Babiloni +13 more
TL;DR: Functional connectivity patterns of cortical activity can be effectively estimated under general conditions met in most EEG recordings by combining high‐resolution EEG techniques, linear inverse estimation of the cortical activity, and frequency domain multivariate methods such as PDC, DTF, and dDTF.
Journal ArticleDOI
Using partial directed coherence to describe neuronal ensemble interactions.
Koichi Sameshima,Luiz A. Baccalá +1 more
TL;DR: This paper illustrates the use of the recently introduced method of partial directed coherence in approaching how interactions among neural structures change over short time spans that characterize well defined behavioral states.
Journal ArticleDOI
Thalamic bursting in rats during different awake behavioral states.
TL;DR: It is proposed that during whisker twitching, a descending signal from SI triggers thalamic bursting that primes the thalamocortical loop for enhanced signal detection during the whiskertwitching behavior.