Work

Dataset for "A high-performance neuroprosthesis for speech decoding and avatar control"

Year: 2023

Type: dataset

Abstract: The dataset associated with the publication: "A high-performance neuroprosthesis for speech decoding and avatar control". Please use the most recently available version of the deposition instead of this version. Please note that the LICENSE file from version 1.1.0 of this deposition applies to all of the contents of this version as well. By accessing and downloading files from this version of the deposition, you are agreeing to the terms of the LICENSE file in version 1.1.0.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8200781

Authors: Metzger, Sean L., Littlejohn, Kaylo T., Silva, Alexander B., Moses, David A., Seaton, Margaret P., Wang, Ran, Dougherty, Maximilian E., Liu, Jessie R., Wu, Peter, Berger, Michael A., Zhuravleva, Inga, Tu-Chan, Adelyn, Ganguly, Karunesh, Anumanchipalli, Gopala K., Chang, Edward F.

Institutions: University of California, San Francisco, University of California, Berkeley

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute on Deafness and Other Communication Disorders

Awards: GRADUATE RESEARCH FELLOWSHIP PPROGRAM, A Pilot Clinical Trial for Speech Neuroprosthesis

OpenAlex ID: W4393787694

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