PerceiveImagine
…After hearing the prompt sound, they enter the next loop
- Participants
- 3
100 results for "closed-loop stimulation" · page 6 of 10 · ranked by relevance
…After hearing the prompt sound, they enter the next loop
…It is consisted of eyes-open EEG recordings in multiple photic stimulation…
…clean, eyes closed, news, number search, flicker, vibro-tactile stimulation) Feedback type…
…EEG, real-time decoding of difficulty, closed-loop adaptation, (simulated) flying, workload…
…decreases with more training participants **Closed-loop Performance** (n=17 naive test…
…LDAEP (54 participants) and resting-state (eyes-open and eyes-closed; 69…
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.
…Eyes-open lasted for 20 seconds, and eyes closed for 40 seconds…
…eyes open and eyes closed) * Cognitive tasks: multi-source interference task (MSIT…
This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.