Work

The "Podcast" ECoG dataset

Year: 2026

Type: dataset

Abstract: The "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.

Source: UC San Diego

DOI: 10.82901/nemar.on005574

Authors: Zaid Zada, Samuel A. Nastase, Bobbi Aubrey, Itamar Jalon, Ariel Goldstein, Sebastian Michelmann, Haocheng Wang, Liat Hasenfratz, Werner Doyle, Daniel Friedman, Patricia Dugan, Lucia Melloni, Sasha Devore, Orrin Devinsky, Adeen Flinker, Uri Hasson

Language: English

Topic: Neurobiology of Language and Bilingualism

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Neurological Disorders and Stroke, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Spatiotemporal Organization of the Inferior Frontal Gyrus During Speech Production - Resubmission - 1, Speaker-listener coupling: a novel neural approach for assessing communication

OpenAlex ID: W7166325032

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