- Patent Title: Systems and methods decoding intended symbols from neural activity
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Application No.: US17006645Application Date: 2020-08-28
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Publication No.: US11640204B2Publication Date: 2023-05-02
- Inventor: Krishna V. Shenoy , Jaimie M. Henderson , Francis Robert Willett
- Applicant: The Board of Trustees of the Leland Stanford Junior University
- Applicant Address: US CA Stanford
- Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee Address: US CA Stanford
- Agency: KPPB LLP
- Main IPC: G06F3/01
- IPC: G06F3/01 ; G06K9/62 ; G06K9/00 ; G06N7/00 ; G06N3/08

Abstract:
Systems and methods for decoding intended symbols from neural activity in accordance with embodiments of the invention are illustrated. One embodiment includes a symbol decoding system for brain-computer interfacing, including a neural signal recorder implanted into a brain of a user, and a symbol decoder, the symbol decoder including a processor, and a memory, where the memory includes a symbol decoding application capable of directing the processor to obtain neural signal data from the neural signal recorder, estimate a symbol from the neural signal data using a symbol model, and perform a command associated with the symbol.
Public/Granted literature
- US20210064135A1 Systems and Methods Decoding Intended Symbols from Neural Activity Public/Granted day:2021-03-04
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