WIRED ICM Sample Dataset - Workshop on Intracranial Recordings in Humans, Epilepsy, DBS
…Phonetic feature encoding in human superior temporal gyrus. Science, 343(6174), 1006…
- Participants
- 3
- Size
- 348 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "temporal scaling" · page 9 of 10 · ranked by relevance
…Phonetic feature encoding in human superior temporal gyrus. Science, 343(6174), 1006…
This dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.
…We have completed the scaling to provide values in V. #### Contact For…
…well as their spatial and temporal derivatives. We then parametrically modulated the…
…The proposed language recruited bilateral superior temporal, precentral, anterior intraparietal and cerebellar…
…software filter in the opposite temporal direction. (This is the same strategy…
This high-density functional near-infrared spectroscopy (fNIRS) dataset comprises neuroimaging recordings from the motor cortex during three experimental paradigms: resting state, ball-squeezing motor tasks (both hands performed sequentially), and purposeful motion artifact creation. The dataset includes concurrent accelerometer measurements and is designed to support the development and validation of motion artifact correction algorithms in fNIRS neuroimaging.
[ training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with 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.
…tracking data streams, enabling precise temporal alignment across all modalities. EEG event…