The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 11, 2022

Filed:

May. 29, 2019
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Michael Andrew Choma, Menlo Park, CA (US);

Emily Mittag Mugler, Redwood City, CA (US);

Patrick Mineault, San Francisco, CA (US);

Soo Yeon Kim Jennings, Sunnyvale, CA (US);

Mark Allan Chevillet, Redwood City, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 3/08 (2006.01); G06F 3/01 (2006.01); G06N 20/20 (2019.01); G06N 3/04 (2006.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06N 5/046 (2013.01); G06F 3/015 (2013.01); G06F 40/40 (2020.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/20 (2019.01);
Abstract

A brain computer interface (BCI) system predicts text based on input and output signals obtained in relation to an individual that are informative for determining an individual's neurobiological activity. The BCI system applies a first predictive model to the input signal and a second predictive model to the output signal. The first predictive model predicts the forward propagation of the input signal through the individual's head whereas the second predictive model predicts the backward propagation of the output signal through the individual's head. Each of the first predictive model and second predictive model predicts characteristics of their respective signal at a common plane such as the cortical surface of the individual's brain. The BCI system predicts text by applying a third predictive model to the predicted signal characteristics at the common plane outputted by the first predictive model and the second predictive model.


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