This dataset contains intracranial EEG (iEEG) recordings from 108 individuals performing a picture-naming task. Electrode coordinates are provided in MNI-305 space, and events mark stimulus onset and response onset. The data were used to study early facilitative and late compensatory neural interactions underlying naming.
…reactive BCI, c-VEP, visual evoked potentials Documentation ------------- Description: Burst c-VEP…
…reactive, code-VEP, visual Documentation ------------- Description: Burst c-VEP Based BCI: Optimizing…
…Block_1 and Block_2 include Visual, Visual + Vibro, and Visual + Vibro…
…type**: visual - **Stimulus type**: flash - **Stimulus modalities**: visual - **Primary modality**: visual - **Mode…
…Subjects completed a novel, visual contextual trajectory paradigm (CTP) wherein the onset…
NOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.
…org/10.82901/nemar.on003519) Visual Working Memory. Mostly unpublished! Beh data…
…reactive BCI, visual evoked potentials Documentation ------------- Description: 4-class code-VEP BCI…
A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.