| 发明名称 |
DIRECT NEURAL INTERFACE SYSTEM AND METHOD |
| 摘要 |
A direct neural interface system comprises: a signal acquisition subsystem for acquiring electrophysiological signals representative of neuronal activity of a subject's brain; and a processing unit for representing electrophysiological signals acquired over an observation time window in the form of a N-way data tensor, N being greater than or equal to two, and generating command signals for a machine by applying a regression model over the data tensor; wherein the processing unit is configured or programmed for generating command signals for a machine by applying Generalized Linear regression, with a nonlinear link function, over the data tensor. A method of interfacing a subject's brain to a machine by using such a direct neural interface system is provided. |
| 申请公布号 |
US2016282941(A1) |
申请公布日期 |
2016.09.29 |
| 申请号 |
US201315032546 |
申请日期 |
2013.10.31 |
| 申请人 |
COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES |
发明人 |
AKSENOVA Tetiana;YELISYEYEV Andriy |
| 分类号 |
G06F3/01;A61B5/0476;A61B5/04 |
主分类号 |
G06F3/01 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A direct neural interface system comprising:
a signal acquisition subsystem for acquiring electrophysiological signals s(t) representative of neuronal activity of a subject's brain; and a processing unit for representing electrophysiological signals acquired over an observation time window in the form of a N-way data tensor (x(t)), N being greater than or equal to one, and generating command signals (S(t)) for a machine by applying a regression model over said data tensor; wherein said processing unit is configured or programmed for generating command signals for a machine by applying Generalized Linear regression, with a nonlinear link function, over said data tensor. |
| 地址 |
Paris FR |
