公开(公告)号：US20240192776A1

公开(公告)日：2024-06-13

申请号：US18505827

申请日：2023-11-09

Applicant: California Institute of Technology

Inventor： Whitney S Griggs ,  Sumner L Norman ,  Richard A Andersen ,  Mikhail G Shapiro

IPC: G06F3/01 ,  G06T7/00 ,  G06T7/30

CPC classification number: G06F3/015 ,  G06T7/0012 ,  G06T7/30 ,  G06T2207/10088 ,  G06T2207/30016

Abstract: An apparatus and method for a pre-trained brain machine interface based on brain state data is disclosed. An initial session of determining brain state data during performance of a task by a subject at a first time is conducted. The brain state data correlated with task performance are recorded. A pre-training set of the brain state data is assembled. A decoder module of the brain machine interface system is pre-trained via the pre-training set of the recorded brain state data to decode intentions of the subject correlated with brain state. A current session is conducted at a second time subsequent to the first time. The current session includes the decoder module accepting a brain state data input of the brain of the subject, decoding a brain state output from the brain state data input, and generating a control signal to perform the task based on the determined brain state output.

公开(公告)号：US20240046071A1

公开(公告)日：2024-02-08

申请号：US18230448

申请日：2023-08-04

Applicant: California Institute of Technology

Inventor： Tyson Aflalo ,  Benyamin A Haghi ,  Richard A Andersen ,  Azita Emami

IPC: G06N3/045 ,  G16H40/67 ,  G16H50/30 ,  G06N3/084 ,  G06F3/01

CPC classification number: G06N3/045 ,  G16H40/67 ,  G16H50/30 ,  G06N3/084 ,  G06F3/015

Abstract: An apparatus and method for a feature extraction network based brain machine interface is disclosed. A set of neural sensors sense neural signals from the brain. A feature extraction module is coupled to the set of neural sensors to extract a set of features from the sensed neural signals. Each feature is extracted via a feature engineering module having a convolutional filter and an activation function. The feature engineering modules are each trained to extract the corresponding feature. A decoder is coupled to the feature extraction module. The decoder is trained to determine a kinematics output from a pattern of the plurality of features. An output interface provides control signals based on the kinematics output from the decoder.