100 results for "linguistic stimuli" · page 6 of 10 · ranked by relevance
…The stimuli directory contains stimuli which were used during the experiment. In…
…Three behavioural tasks and neural measurements (EEG) using these stimuli. - Spontaneous dissimilarity…
A large-scale multi-laboratory replication study (N=356 participants across 9 UK institutions) investigating probabilistic prediction in language comprehension using event-related potentials. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of indefinite articles (a/an) preceding expected or unexpected nouns. The study challenges strong prediction accounts by demonstrating reliable N400 effects on target nouns but not on preceding articles, contrary to the original DeLong et al. (2005) findings.
…Neuroimaging with large-scale naturalistic stimuli is increasingly employed to elucidate these…
…Neuroimaging with large-scale naturalistic stimuli is increasingly employed to elucidate these…
…In this experiment, participants received fixed-intensity pain stimuli at 3J / 3…
This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.
…The task sequence file (stim program code) together with the visual stimuli…
…Emotion Recognition Using Validated Video Stimuli with Large-scale Behavioral Survey and…
This dataset contains EEG recordings from 10 healthy adults performing a P300 speller task using a 6x6 character matrix, under two stimulus conditions (Famous Faces overlay and Inverting). Data were collected across two sessions per subject with three runs each, using a 32-channel g.tec EEG system at 256 Hz. The dataset is a BIDS-formatted derivative generated via MOABB from the original data reported in Speier et al. (2017), which compared classification approaches for the P300 speller using language models.