EEGEyeNet Dataset
[
- Citations
- 7
- Size
- 43.6 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "semantic decoding" · page 9 of 10 · ranked by relevance
[ recordings from human participants viewing large-scale naturalistic ImageNet stimuli, extending the previously collected Natural Object Dataset (NOD-fMRI) with temporally resolved neural data. Combined with corresponding fMRI and EEG datasets from the same subjects, NOD-MEG enables multimodal investigation of object recognition across both spatial and temporal domains. The dataset is intended as a resource for studying neural mechanisms of visual object recognition under naturalistic viewing conditions.
[ ---------------------------- Accuracy…
This dataset contains 64-channel EEG recordings and behavioural ratings from 4 participants who read and evaluated English-language poetic and non-poetic texts (Haiku, Senryu, and Control). It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.
…The study investigates the feasibility of decoding natural reach-and-grasp neural…
This dataset contains behavioral events and intracranial electrophysiological recordings from a free recall task with repeated word items, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of words presented visually, with items repeated at varying frequencies, and then freely recalled the words after a delay period. The dataset supports investigation of memory encoding and retrieval processes as a function of item repetition.