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:
May. 19, 2020

Filed:

Feb. 13, 2019
Applicant:

Paradromics, Inc., Austin, TX (US);

Inventors:

Matthew Angle, Austin, TX (US);

Edmund Huber, San Francisco, CA (US);

Robert Edgington, Austin, TX (US);

Assignee:

PARADROMICS, INC., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/04 (2006.01); A61B 5/0476 (2006.01); A61B 5/00 (2006.01); A61B 5/0478 (2006.01); A61B 5/048 (2006.01); A61N 1/05 (2006.01);
U.S. Cl.
CPC ...
A61B 5/04012 (2013.01); A61B 5/04 (2013.01); A61B 5/048 (2013.01); A61B 5/0478 (2013.01); A61B 5/4064 (2013.01); A61B 5/6868 (2013.01); A61B 5/7239 (2013.01); A61B 5/7246 (2013.01); A61B 5/7253 (2013.01); A61B 5/7242 (2013.01); A61N 1/0531 (2013.01); A61N 1/0534 (2013.01);
Abstract

Systems and methods for processing neural signals are provided. A neural data analysis system may comprise a feature extraction module configured to extract a plurality of features from neural signal waveforms obtained by an implanted neural interface probe with a plurality of channels or electrodes, and transmit the extracted features as a plurality of discrete outputs. The neural data analysis system may also comprise a feature-event coalescence module configured to receive the plurality of discrete outputs from the feature extraction module, and construct a model-based inference of bioelectric activity based on feature event statistics, prior knowledge of bioelectric signals, and/or a behavioral model of the feature extraction module. The neural data analysis system may further comprise an approximator module configured to receive a plurality of coalesced events from the feature-event coalescence module, and apply a series of transformations to the coalesced event data to generate a higher entropy neural code.


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