M
Marco Buiatti
Researcher at University of Trento
Publications - 31
Citations - 2064
Marco Buiatti is an academic researcher from University of Trento. The author has contributed to research in topics: Computer science & Artifact (error). The author has an hindex of 14, co-authored 27 publications receiving 1658 citations. Previous affiliations of Marco Buiatti include Paris Descartes University & French Alternative Energies and Atomic Energy Commission.
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Journal ArticleDOI
ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features.
TL;DR: A completely automatic algorithm (ADJUST) that identifies artifacted independent components by combining stereotyped artifact-specific spatial and temporal features is proposed that provides a fast, efficient, and automatic way to use ICA for artifact removal.
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Disruption of hierarchical predictive coding during sleep
Mélanie Strauss,Mélanie Strauss,Jacobo D. Sitt,Jacobo D. Sitt,Jean-Rémi King,Jean-Rémi King,Maxime Elbaz,Leila Azizi,Leila Azizi,Marco Buiatti,Marco Buiatti,Lionel Naccache,Virginie van Wassenhove,Virginie van Wassenhove,Stanislas Dehaene +14 more
TL;DR: It is discovered that both short-term and long-term brain responses to auditory prediction errors are disrupted during non-rapid eye movement and rapid eye movement sleep; however, the brain still exhibits detectable auditory responses and a capacity to habituate to frequently repeated sounds.
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Investigating the neural correlates of continuous speech computation with frequency-tagged neuroelectric responses.
TL;DR: It is shown that pauses facilitate a fast, explicit and successful extraction of words from continuous speech, and that the frequency-tagging approach is a powerful tool to track brain responses to different hierarchical units of the speech structure.
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Cortical route for facelike pattern processing in human newborns
Marco Buiatti,Elisa Giorgio,Manuela Piazza,Carlo Polloni,Giuseppe Menna,Fabrizio Taddei,Ermanno Baldo,Giorgio Vallortigara +7 more
TL;DR: Using EEG and a slow oscillatory visual stimulation, a reliable response specific to facelike patterns in newborns is identified, which suggests that the development of face perception in infants might rely on an early cortical route specialized in face processing already shortly after birth.
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Timing the impact of literacy on visual processing
Felipe Pegado,Enio Alberto Comerlato,Fabrício Dutra Ventura,Antoinette Jobert,Kimihiro Nakamura,Marco Buiatti,Paulo Ventura,Ghislaine Dehaene-Lambertz,Régine Kolinsky,Jose Morais,Lucia Willadino Braga,Laurent D. Cohen,Stanislas Dehaene +12 more
TL;DR: The results show that learning to read dramatically enhances the magnitude, precision, and invariance of early visual coding, within 200 ms of stimulus onset, and also enhances later neural activity.