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

Research datakeyboard_double_arrow_right Dataset 23 Aug 2023 English Publisher:ZenodoFunded by:NIH | A Pilot Clinical Trial fo..., NSF | GRADUATE RESEARCH FELLOWS...

Authors: Metzger, Sean L.; Littlejohn, Kaylo T.; Silva, Alexander B.; Moses, David A.; Seaton, Margaret P.; Wang, Ran; Dougherty, Maximilian E.; +8 Authors

doi: 10.5281/zenodo.8285002 , 10.5281/zenodo.8200782 , 10.5281/zenodo.8200781 , 10.5281/zenodo.8311905

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

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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.

Related Organizations

University of California, Berkeley
United States
University of California, San Francisco
United States
University of Mississippi Medical Center
United States

Keywords

Neuroprosthesis, Speech, BCI, ECoG

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average