Continuous decoding direct neural interface which uses a markov mixture of experts
US-2018005105-A1 · Jan 4, 2018 · US
Direct neural interface system and method
US2016282941A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016282941-A1 |
| Application number | US-201315032546-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 31, 2013 |
| Priority date | Oct 31, 2013 |
| Publication date | Sep 29, 2016 |
| Grant date | — |
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Abstract
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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.
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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 pr…
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Physics · mapped topic
Human Necessities · mapped topic
Human Necessities · mapped topic
Human Necessities · mapped topic
Human Necessities · mapped topic
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- What does patent US2016282941A1 cover?
- 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 m…
- Who is the assignee on this patent?
- Commissariat Energie Atomique
- What technology area does this patent fall under?
- Primary CPC classification G06F3/015. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Sep 29 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).