Dataset on Emotion with Naturalistic Stimuli (DENS)
…The stimuli directory contains stimuli which were used during the experiment. In…
- Participants
- 40
- Channels
- 128
- Citations
- 4
- Size
- 4.46 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "linguistic stimuli" · page 5 of 10 · ranked by relevance
…The stimuli directory contains stimuli which were used during the experiment. In…
…Neuroimaging with large-scale naturalistic stimuli is increasingly employed to elucidate these…
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…
…Three behavioural tasks and neural measurements (EEG) using these stimuli. - Spontaneous dissimilarity…
…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 cueing, yielding 1,800 trials suitable for BCI research and benchmarking.
…The task sequence file (stim program code) together with the visual stimuli…
…focus selectively on deviant stimuli in one of the streams and count…
This dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverting—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.