[:** resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning…
Magnetoencephalography (MEG) recordings from 13 participants who viewed and heard audiovisual sequences while performing causality judgment and temporal order judgment tasks. The same six audiovisual sequences were used in both tasks, which allowed endogenous task demands to be manipulated while sensory input stayed constant. Auditory-only and visual-only localizer blocks are also included, along with anatomical MRI, EOG, ECG and empty-room recordings. The dataset supports research on multisensory correlation computations in the human brain.
…identity_authentication, target_detection - **Environment**: laboratory ## Tags - **Pathology**: Healthy - **Modality**: ERP - **Type…
Simultaneous electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG) and electromyography (EMG) recordings from 26 participants, together with electrocardiographic and respiratory signals. Somatosensory evoked potentials were elicited by mixed nerve stimulation (median and tibial nerves) and sensory nerve stimulation of fingers and toes, alongside a resting-state condition with eyes open. ESG electrode positions are provided for each participant. The study was pre-registered on OSF.
…RSVP target detection (human vs non-human images); 14 subjects in 7…
This dataset contains independent 3-second single-channel intracranial EEG (stereo-EEG) clips from St. Anne's University Hospital (FNUSA), annotated for classification of physiological and pathological graphoelements and artifactual signals. It is a BIDS conversion of the segmented .mat archives released with Nejedly et al. 2020. Clips from one subject and one SEEG contact are concatenated per run at 5000 Hz, with events preserving labels, anatomy, reviewer, seizure onset zone flag, and electrode type.
…and performed an audiovisual synchrony detection. Each trial started with a brief…
…This dataset enables the validation of seizure onset and spread detection and…
Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.