IP Library Patent Application 19304390
Patent Application
App. No. 19/304,390

BRAIN-COMPUTER INTERFACE

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Quick Facts
Patent No.
US None
App. No.
19/304,390
Abstract

A system and method relating to a brain-computer interface in which a visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. The visual stimulus includes a feedback element that varies according to a measure of attention on the or each overlaid object.

Claims (34)

1 . A method of operating a brain computer interface system, comprising:

displaying, by a display unit, image data including a plurality of objects;

generating, by a stimulus generator, a visual stimulus having a characteristic modulation corresponding to each of the plurality of objects;

receiving neural signals from a neural signal capture device; determining an object of focus from the plurality of objects based on detecting a correlation between the neural signals and the characteristic modulation of the visual stimulus corresponding to the object of focus; and

displaying a feedback element for the object of focus, wherein the feedback element transitions from an orderless distribution of visual elements to an ordered distribution forming a recognizable shape based on a strength of the correlation between the neural signals and the characteristic modulation.

2 . The method of claim 1 , wherein the characteristic modulation is selectively applied to a high spatial frequency (HSF) component of the visual.

3 . The method of claim 1 , wherein the feedback element varies as a linear function of the strength of the correlation.

4 . The method of claim 1 , wherein the feedback element varies as a non-linear function of the strength of the correlation, and wherein the non-linear function is selected from a sigmoid function, a Rectified Linear Unit (RELU) function or a hyperbolic tangent function.

5 . The method of claim 1 , wherein the recognizable shape is selected from a reticule, target mark, or cross-hair.

6 . The method of claim 1 , wherein the characteristic modulation comprises a pseudo-random temporal pattern to reduce temporal overlap between patterns associated with different objects of the plurality of objects.

7 . The method of claim 1 , wherein the transition from the orderless distribution to the ordered distribution comprises step-wise changes.

8 . A machine comprising:

at least one processor; and

at least one memory storing instructions that, when executed by the at least one processor, cause the machine to perform operations comprising:

displaying, by a display unit, image data including a plurality of objects;

generating, by a stimulus generator, a visual stimulus having a characteristic modulation corresponding to each of the plurality of objects;

receiving neural signals from a neural signal capture device; determining an object of focus from the plurality of objects based on detecting a correlation between the neural signals and the characteristic modulation of the visual stimulus corresponding to the object of focus; and

displaying a feedback element for the object of focus, wherein the feedback element transitions from an orderless distribution of visual elements to an ordered distribution forming a recognizable shape based on a strength of the correlation between the neural signals and the characteristic modulation.

9 . The machine of claim 8 , wherein the characteristic modulation is selectively applied to a high spatial frequency (HSF) component of the visual.

10 . The machine of claim 8 , wherein the feedback element varies as a linear function of the strength of the correlation.

11 . The machine of claim 8 , wherein the feedback element varies as a non-linear function of the strength of the correlation, and wherein the non-linear function is selected from a sigmoid function, a Rectified Linear Unit (RELU) function or a hyperbolic tangent function.

12 . The machine of claim 8 , wherein the recognizable shape is selected from a reticule, target mark, or cross-hair.

13 . The machine of claim 8 , wherein the characteristic modulation comprises a pseudo-random temporal pattern to reduce temporal overlap between patterns associated with different objects of the plurality of objects.

14 . The machine of claim 8 , wherein the transition from the orderless distribution to the ordered distribution comprises step-wise changes.

15 . A machine-storage medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:

displaying, by a display unit, image data including a plurality of objects;

generating, by a stimulus generator, a visual stimulus having a characteristic modulation corresponding to each of the plurality of objects;

receiving neural signals from a neural signal capture device; determining an object of focus from the plurality of objects based on detecting a correlation between the neural signals and the characteristic modulation of the visual stimulus corresponding to the object of focus; and

displaying a feedback element for the object of focus, wherein the feedback element transitions from an orderless distribution of visual elements to an ordered distribution forming a recognizable shape based on a strength of the correlation between the neural signals and the characteristic modulation.

16 . The machine-storage medium of claim 15 , wherein the characteristic modulation is selectively applied to a high spatial frequency (HSF) component of the visual.

17 . The machine-storage medium of claim 15 , wherein the feedback element varies as a linear function of the strength of the correlation.

18 . The machine-storage medium of claim 15 , wherein the feedback element varies as a non-linear function of the strength of the correlation, and wherein the non-linear function is selected from a sigmoid function, a Rectified Linear Unit (RELU) function or a hyperbolic tangent function.

19 . The machine-storage medium of claim 15 , wherein the recognizable shape is selected from a reticule, target mark, or cross-hair.

20 . The machine-storage medium of claim 15 , wherein the characteristic modulation comprises a pseudo-random temporal pattern to reduce temporal overlap between patterns associated with different objects of the plurality of objects.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 1, 2026
From: SPECS FRANCE SAS
To: SNAP INC.
Reel/Frame 074542/0677 →
CHANGE OF NAME Recorded Dec 19, 2025
From: NEXTMIND SAS
To: SPECS FRANCE SAS
Reel/Frame 073268/0784 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 2, 2025
From: BARASCUD, NICOLAS; STEINMETZ, NELSON; ZERAFA, ROBIN; KOUIDER, SID
To: NEXTMIND SAS
Reel/Frame 072134/0489 →