Invention Grant
- Patent Title: Direct neural interface system and method
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Application No.: US15032546Application Date: 2013-10-31
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Publication No.: US10241575B2Publication Date: 2019-03-26
- Inventor: Tetiana Aksenova , Andriy Yelisyeyev
- Applicant: COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- Applicant Address: FR Paris
- Assignee: COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- Current Assignee: COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- Current Assignee Address: FR Paris
- Agency: Baker & Hostetler LLP
- International Application: PCT/IB2013/002725 WO 20131031
- International Announcement: WO2015/063535 WO 20150507
- Main IPC: G05D17/00
- IPC: G05D17/00 ; G06F3/01 ; A61B5/00 ; A61B5/04 ; A61B5/0476 ; G06K9/00

Abstract:
A direct neural interface system comprises: a signal acquisition subsystem for acquiring electrophysiological signals representative of neuronal activity of a subject's brain; and a processing unit for representing electrophysiological signals acquired over an observation time window in the form of a N-way data tensor, N being greater than or equal to two, and generating command signals for a machine by applying a regression model over the data tensor; wherein the processing unit is configured or programmed for generating command signals for a machine by applying Generalized Linear regression, with a nonlinear link function, over the data tensor. A method of interfacing a subject's brain to a machine by using such a direct neural interface system is provided.
Public/Granted literature
- US20160282941A1 DIRECT NEURAL INTERFACE SYSTEM AND METHOD Public/Granted day:2016-09-29
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