…This dataset was originally acquired and shared by Daniel Wakeman and Richard…
…Stimuli were presented using MATLAB (MathWorks) and Psychtoolbox (Brainard and Vision). The…
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.
…Bands doffed and re-donned (realistic electrode placement variability) **Session duration**: 9…
This dataset contains raw neuroimaging recordings collected with the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0. The paradigm is used to study how the brain generates domain-general visual surprise signals and how their latency depends on the visual attribute that is violated. It accompanies a pre-print on attribute-dependent latency of visual surprise signals.
…Parallel processing in speech perception with local and global representations of linguistic…
THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
…The events files contain the onsets, durations, trial types and values for…
…integrates storytelling and deep visualizations techniques to encourage personal and wellbeing. This…
…distribution) between 100 and 2100 ms. Montage: Lead placement alongside the cervical…