…82901/nemar.on004295) Two reversal learning tasks with different reinforcer (monetary reward…
Intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, with two patients also carrying high-density research grids. Participants viewed grayscale pattern stimuli and color images of several categories. Stimuli varied in spatial and temporal properties, including pRF mapping bars, spatial and temporal patterns, and six-category localizers. Pre-implantation T1 MRI, FreeSurfer surface reconstructions and derivative broadband and preprocessed data are included.
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
…10.82901/nemar.on003506) Reinforcement learning task with 28 Parkinson patients and…
EEG recordings from 37 healthy adult participants (under 35 years, normal or corrected-to-normal vision) performing a visual contextual trajectory paradigm. In this paradigm, the onset of a bound stimulus violated an established trajectory in brightness, size, or orientation, while control trials contained no violation. The dataset supports investigation of attribute-specific prediction error and expectation signals in visual processing.
…Collaboration is highly welcome! Details of the learning task The auditory category…
…Trial-wise prediction errors from a Q-learning model with learning rate…
Continuous 64-channel scalp EEG from 12 observers performing a visual dimension-based attention (cue) task, originally reported by Gramann, Töllner and Müller (2010). The recordings, 56-66 minutes each, include ICA decomposition weights and expert-annotated independent component labels. The dataset was later used to study automatic multi-class labeling of ICA components and is known as the "Cue" dataset.
…data from Mexican children with learning difficulties who strengthen reading and math…
…The same participants performed an identical learning task during fMRI scanning. Related…