Work

The "Podcast" ECoG dataset

Year: 2026

Type: dataset

Abstract: The Podcast ECoG dataset provides intracranial electrophysiological recordings from 9 participants with 1,330 electrodes during natural story listening. This dataset combines high spatiotemporal resolution human electrocorticography with a naturalistic language comprehension paradigm, including raw and preprocessed high-gamma data, auditory stimuli, word-level transcripts, and linguistic features from acoustic properties to large language model embeddings. The resource includes tutorials and serves as both a pedagogical tool and foundation for investigating neural mechanisms of narrative comprehension.

Source: UC San Diego

DOI: 10.82901/nemar.on005574.v1.0.0

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: W7166312806

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