RNS_Epilepsy-iBIDS
…about 30 seconds after the end of the stimulation. The stimulation markers…
- Participants
- 8
- Citations
- 1
- Size
- 498 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "end-to-end learning" · page 10 of 10 · ranked by relevance
…about 30 seconds after the end of the stimulation. The stimulation markers…
A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.
…The tasks were manipulated and at the end of the game session…
…correct = S253; pedalpress_incorrect = S254; endtrigger = S255; For a full description of…
This dataset contains EEG recordings from Experiment 2 of a study investigating memory reactivation under anticipated interference, using a working memory task with lateralized visual objects and dual-task distractor manipulations. Participants memorized cued objects, performed a secondary distractor identification task in some blocks, and were subsequently tested on their memory via a two-alternative forced-choice probe. The dataset is intended to examine how anticipated interference affects neural memory reactivation processes.
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…strayed too far from the target (and the round would end). Each…
…to 5 seconds of intracranial stimulation and 8 seconds after the end…
This dataset comprises simultaneous EEG, fMRI, and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention gradual-onset continuous performance task (gradCPT), along with resting-state, checkerboard, and imagery task data. The dataset supports multimodal investigation of sustained attention and its neural correlates using combined electrophysiological, hemodynamic, and structural connectivity measures.