…12-class SSVEP target identification task with joint frequency and phase coding…
…He, "Multi-channel EEG recording during motor imagery of different joints from…
This dataset contains 32-channel EEG recordings from 8 healthy participants performing a combined steady-state visual evoked potential (SSVEP) brain-computer interface task. Spatially overlapping arrow stimuli at a single location, flickering at distinct frequencies derived from an 85 Hz CRT refresh rate, encode four directions (up, down, left, right). Participants covertly attended to one direction per trial, and the data cover three stimulation and attention schemes across two experiments.
…trustworthiness that will undermine effective joint system performance. Using the same paradigm…
…CSP, FBCSP, deep_learning, Riemannian_geometry - **Frequency bands**: alpha_mu=[8.0…
…ICA, visual inspection, abnormal joint probability, abnormal kurtosis - **Re-reference**: CAR - **Notes…
…Machine Learning Group, Department of Computer Science Address: 10587 Berlin, Germany Country…
…40-target BCI speller with joint frequency and phase modulation (JFPM) approach…
…thresholding (>125 µV), and abnormal joint probability/kurtosis rejection (4 SD threshold…
A multi-session dataset of simultaneous EEG-fMRI recorded from 24 healthy adults aged 18-35 while they performed a gradual-onset continuous performance task (GradCPT) and a resting-state condition with intermittent multidimensional experience sampling. The same protocol was repeated on two days. Carbon wire loop sensors in the EEG cap support artifact removal. The dataset also includes ECG, behavioral responses, and mental health surveys. It supports study of attentional fluctuations, mind-wandering, and the test-retest reliability of EEG-fMRI relationships.