Systems and Methods Decoding Intended Symbols from Neural Activity

Patent №

US 11,640,204

Granted

2023-05-02

Filed 2020

Owner

THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

+1 more

AI components

4

ml · nlp · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17006645

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.

Machine learningNatural languageSpeechAI hardwareG06F 3/015G06F 18/2148G06F 18/41G06N 3/044G06N 3/0442G06N 3/0464G06N 3/09G06N 7/01+3 more

AI classification

Speech1.00
AI hardware1.00
Machine learning1.00
Natural language0.96
Vision0.20
Planning0.10
Evolutionary computation0.03
Knowledge representation0.02

Ownership

THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

assignment · 578800254

HOWARD HUGHES MEDICAL INSTITUTE

assignment · 582990108

Assignors

SHENOY, KRISHNA V.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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