EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.
EEG dataset from a semantic fear conditioning task, collected to examine how awareness of stimulus contingencies shapes neural responses during fear conditioning. The recordings were used in an accompanying study by Pavlov and colleagues on contingency awareness. The data are organized in BIDS format with HED annotations.
This dataset, titled Expectation of Conflict Stimuli, accompanies a study of how the brain forms expectations about upcoming conflict and adapts to it. It is associated with research on the role of lateral prefrontal theta oscillations in a computational mechanism underlying conflict expectation and adaptation. The dataset is organized in BIDS format and mirrored on NEMAR from OpenNeuro.
…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
EEG dataset investigating whether images of stylized (cartoon-like) faces with exaggerated visual features improve event-related potential (ERP) correlates of emotion relative to ordinary human faces. The stylized faces elicit an enhanced N170 component associated with facial recognition encoding. The findings suggest that consistent stimulus transformations could improve affect detection from EEG in affective brain-computer interface design.
…Based on EEG of Student Learning Processes Using Gen-AI This dataset…
EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.
…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
This dataset contains electroencephalography (EEG) recordings from 16 participants viewing object images presented in eight different 2-D rotations. Images were shown in rapid serial visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of the time course of rotation-tolerant, high-level object representations in the human brain.
…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…