Average Task Value
…Value Twelve participants completed three learning tasks. In each task the goal…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 2
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
…Value Twelve participants completed three learning tasks. In each task the goal…
…Few-shot learning, transfer learning - **Sequence modeling**: Character-level prediction with attention…
EEG dataset from the PURSUE project containing an N400 word processing task, recorded from participants at three primarily undergraduate institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task design follows the ERP CORE paradigm. The dataset supports event-related potential research on semantic word processing.
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
This dataset contains 124-channel EEG recordings from 13 participants who imagined and perceived stimuli from three modalities: visual pictorial, visual orthographic, and auditory. Stimuli came from three semantically dissimilar categories (guitar, flower, penguin). Raw, pre-processed, and epoched versions of the data are provided to support research on semantic decoding from EEG.
…Sensitive Period of Native Phoneme Learning. International Journal of Environmental Research and…
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
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.
…but also enabling robust transfer learning studies for other alphabetic languages. Data…
…Synchronized multi-modal data frames ready for Machine Learning pipelines. ## Publication & Citation…