…Collaboration is highly welcome! Details of the learning task The auditory category…
…Trial-wise prediction errors from a Q-learning model with learning rate…
…2020 Motor imagery dataset from Ma et al. 2020. ## Dataset Overview - **Code…
This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).
…Passive motor (Pass-Mot, Biodex-driven arm movement) 5. Active motor (Act…
…4-class motor imagery (Dataset 2a) BNCI2014_002 : 2-class motor imagery…
This dataset contains 64-channel EEG recordings from 62 participants, organized into 31 pairs, who played a computerised version of the competitive Rock-Paper-Scissors game across 480 games. It was collected to study the neural correlates of competitive decision-making and to support decoding of choices and outcomes from brain activity. Each session lasted about one hour.
…CSP, deep_learning - **Frequency bands**: bandpass=[5.0, 30.0] Hz - **Spatial…
…two-class motor imagery with arrow cues - **Feedback type**: none - **Stimulus type…
…Classical left/right hand motor imagery with passive rest - **Feedback type**: none…