Work

Visual ECoG dataset

Year: 2026

Type: dataset

Abstract: This dataset comprises intracranial EEG recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, collected during visual stimulation tasks between 2017-2020. Participants viewed grayscale pattern stimuli varying in spatial and temporal properties, as well as color images of six object categories, while performing a fixation task. The dataset includes raw voltage data, common-average-referenced recordings, broadband responses, preprocessed epochs, and anatomical MRI scans with electrode localizations, enabling investigation of neural dynamics in human visual cortex.

Source: UC San Diego

DOI: 10.82901/nemar.on004194.v1.0.0

Authors: Iris Groen, Kenichi Yuasa, Amber Brands, Giovanni Piantoni, Stephanie Montenegro, Adeen Flinker, Sasha Devore, Orrin Devinsky, Werner Doyle, Patricia Dugan, Daniel Friedman, Nick Ramsey, Natalia Petridou, Jonathan Winawer

Institutions: New York University, University Medical Center Utrecht

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7165632369

Cites: 3

Cited by:

Related to: 10