Face processing EEG dataset for EEGLAB
Imported from OpenNeuro ds002718
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 81
- Size
- 4.30 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "visual processing" · page 3 of 10 · ranked by relevance
Imported from OpenNeuro ds002718
A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 trials of photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects) with 72 unique images per category, each presented for 500 ms. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
…a multimodal resource for studying information processing in the developing brain (EEG…
Imported from OpenNeuro ds002578
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
…They were shown auditory and visual numbers that were symbolic (Arabic + spoken…
This dataset comprises EEG recordings from a visual working memory task presented in virtual reality, where participants remembered object details cued by either a social (avatar) or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.
…Visual ERP copy-spelling task using a modified 6x6 grid extended with…
This EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
…33 participants completed both a visual and auditory surprise task in counterbalanced…