Journal ArticleDOI
Frequency-based neural discrimination in fast periodic visual stimulation
TLDR
The authors used fast periodic visual stimulation (FPVS) and EEG recordings to find neural evidence for a fundamental frequency-tuned mechanism that operates under high temporal constraints and could underpin category bootstrapping.About:
This article is published in Cortex.The article was published on 2022-01-01. It has received 7 citations till now. The article focuses on the topics: Medicine & Bootstrapping (finance).read more
Citations
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Journal ArticleDOI
Inferring the nature of linguistic computations in the brain
TL;DR: The authors discuss pitfalls and common fallacies seen in the conclusions drawn in the literature illustrated by various simulations and conclude that inferring the neural operations of sentence processing based on these neural data, and any like it, alone is insufficient.
Journal ArticleDOI
Lexical and sublexical cortical tuning for print revealed by Steady-State Visual Evoked Potentials (SSVEPs) in early readers.
Fang Wang,Q. T. H. Nguyen,Blair Kaneshiro,Lindsey Hasak,Angie M Wang,Elizabeth Y. Toomarian,Anthony M. Norcia,Bruce D. McCandliss +7 more
TL;DR: In this paper , a group of early readers spanning from kindergarten to second grade were used to analyze high-density EEG using Steady-State Visual Evoked Potentials (SSVEPs) via data-driven Reliable Components Analysis (RCA).
Journal ArticleDOI
Intracranial Entrainment Reveals Statistical Learning across Levels of Abstraction
Brynn E. Sherman,Ayman Aljishi,Kathryn N. Graves,Imran H. Quraishi,Adithya Sivaraju,Eyiyemisi C. Damisah,Nicholas B. Turk-Browne +6 more
TL;DR: This paper found that the brain spontaneously uncovered category-level regularities during statistical learning, providing insight into the brain's unsupervised mechanisms for building flexible and robust knowledge that generalizes across input variation and conceptual hierarchies.
Posted ContentDOI
MEG frequency tagging reveals a grid-like code during covert attentional movements
TL;DR: In this article , the authors investigated whether movements of covert attention can elicit grid-like responses in humans by concurrently recording MEG and eye-tracker, and they reported the first evidence, in humans, that gridlike signals in the medial-temporal lobe can be elicited by covert attentional movements.
Journal ArticleDOI
Automatic morpheme identification across development: Magnetoencephalography (MEG) evidence from fast periodic visual stimulation
Valentina Nicole Pescuma,Maria Ktori,Elisabeth Beyersmann,Paul F. Sowman,Anne Castles,Davide Crepaldi +5 more
TL;DR: This article used magnetoencephalography (MEG) recordings with fast periodic visual stimulation (FPVS) to investigate automatic neural responses to morphemes in developing and skilled readers.
References
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Journal ArticleDOI
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more
TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI
The Psychophysics Toolbox.
TL;DR: The Psychophysics Toolbox is a software package that supports visual psychophysics and its routines provide an interface between a high-level interpreted language and the video display hardware.
Journal ArticleDOI
FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
TL;DR: FieldTrip is an open source software package that is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data.
Journal ArticleDOI
Nonparametric statistical testing of EEG- and MEG-data
Eric Maris,Robert Oostenveld +1 more
TL;DR: This paper forms a null hypothesis and shows that the nonparametric test controls the false alarm rate under this null hypothesis, enabling neuroscientists to construct their own statistical test, maximizing the sensitivity to the expected effect.
Journal ArticleDOI
Statistical Learning by 8-Month-Old Infants
TL;DR: The present study shows that a fundamental task of language acquisition, segmentation of words from fluent speech, can be accomplished by 8-month-old infants based solely on the statistical relationships between neighboring speech sounds.
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