…In the active learning group, participants completed a review session using the…
[ data, covering six calibrated tasks: finger flexion, hand gestures, motor imagery, basic motor movement, and speech (verb generation and noun reading). It contains 111 recordings from 24 epilepsy patients with subdural electrode grids, recorded at 1 kHz at Harborview Hospital. The data are scaled to physical units and include events, channel metadata and electrode positions.
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…
SMN4Lang is a synchronized multimodal neuroimaging dataset for studying brain language processing. It contains fMRI and MEG recordings from the same 12 participants listening to about 6 hours of naturalistic Mandarin Chinese stories. It also includes structural T1/T2, diffusion MRI, resting-state fMRI, and linguistic annotations of the stimuli such as word frequencies, part-of-speech tags, syntactic trees, time-aligned characters and words, and word embeddings.
…object–location association learning. 50 objects (small squares with 2.3 cm…
…10.82901/nemar.on004317) Reinforcement learning task with 50 healthy controls (25…
STRUM is a dyadic neuroergonomics dataset in which pairs of participants perform a collaborative urban-reconnaissance task while a time-synchronized multimodal sensor suite records both members simultaneously via Lab Streaming Layer. It covers 33 sessions and 66 participants, with high-density EEG, EMG, ECG/EOG, motion capture, eye-tracking, force plate and controller behavior. Each participant has their own subject directory, and the pairing is encoded in participants.tsv so that analyses can split by pair.