Average Task Value
…Value Twelve participants completed three learning tasks. In each task the goal…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 4
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "incidental learning" · page 4 of 10 · ranked by relevance
…Value Twelve participants completed three learning tasks. In each task the goal…
This dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
…Motor Imagery Dataset B — transfer learning benchmark ## Overview Beetl2021-B is a…
…Motor Imagery Dataset A — transfer learning benchmark ## Overview Beetl2021-A is a…
An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
…For learning trial 1, participants are placed at a random location at…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a P300-based speller task across three sessions. The dataset comprises 2,520 trials of visual event-related potential data acquired at 1000 Hz using a 64-channel Neuroscan system (64 EEG channels + 1 EOG + 1 stimulus channel), designed to enable analysis of ocular activity patterns and their relationship to brain-computer interface performance across multiple BCI paradigms.
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…
…In the active learning group, participants completed a review session using the…
Imported from OpenNeuro ds002578