US 12,340,018 B2
Brain-computer interface
Nicolas Barascud, Paris (FR); Paul Roujansky, Paris (FR); Clement Royen, Paris (FR); and Sid Kouider, Paris (FR)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by NextMind SAS, Paris (FR)
Filed on Jan. 16, 2024, as Appl. No. 18/414,238.
Application 18/414,238 is a continuation of application No. 17/629,714, previously published as PCT/EP2020/071702, filed on Jul. 31, 2020.
Claims priority of provisional application 62/880,704, filed on Jul. 31, 2019.
Prior Publication US 2024/0152208 A1, May 9, 2024
Int. Cl. G06F 3/01 (2006.01); G06F 18/214 (2023.01)
CPC G06F 3/015 (2013.01) [G06F 18/214 (2023.01); G06F 2218/02 (2023.01); G06F 2218/12 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving neural signals from a user while the user is exposed to sensory stimuli during use by the user of a Brain Computer Interface (BCI), the sensory stimuli including a display of a target object as a first graphical object with a varying first temporal characteristic distinct from a second temporal characteristic of a second graphical object of the sensory stimuli;
decoding the neural signals to identify a focus of attention of the user on the target object using a neural response model;
modifying the sensory stimuli in real-time based on the focus of attention to provide real-time feedback to the user;
refining the neural response model using a response by the user to the real-time feedback; and
continuously repeating the receiving, decoding, modifying, and refining operations during use by the user of the BCI to continuously calibrate the neural response model.