Personalized smartphone notifications bias auditory salience across processing stages
…to understand how Personalized smartphone notifications bias auditory salience across processing stages
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…to understand how Personalized smartphone notifications bias auditory salience across processing stages
…60 intensifications per stage (10 sequences × 6 elements) - **Trials context**: per_stage…
…Certain participants were excluded at various stages of the analyses. Their data…
…of the three stages of the procedure. Stage 1 (before measurement): A…
Imported from OpenNeuro ds003800
A large longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing more than 250,000 trials of motor-imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
…Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 64-channel EEG recordings plus 1 EOG and 1 stimulus channel at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004067-blue…