User authentication via evoked potential in electroencephalographic signals
US-2016021106-A1 · Jan 21, 2016 · US
US10349859B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10349859-B2 |
| Application number | US-201715622953-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 14, 2017 |
| Priority date | Jun 14, 2017 |
| Publication date | Jul 16, 2019 |
| Grant date | Jul 16, 2019 |
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Computational models and methods and systems of using the model to estimate variable time delay in the sensorimotor system of a subject are provided. The computational model can estimate variable time delays in the sensorimotor system, predict sensory states based on delayed sensory feedback, and/or control the system in real time. The subject can be a human or a primate. Simulation experiments can show how the model can explain a sensorimotor system's ability to compensate for delays during online learning and control.
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What is claimed is: 1. A method of estimating time delay of a sensorimotor control system in a subject, comprising: obtaining Jacobian matrices that respectively describe sensory states G(t) and motor control B(t) of the system; obtaining a control vector u(t) describing neural motor commands from a neural network of the subject that dictate a desired motion or task of a muscle of the subject, the desired motion or task being described by a reference trajectory r(t); computing a delayed sensory state of the system, described by vector x(t−τ) using the values of G(t), B(t), and u(t); estimating, based on G(t), B(t), x(t−τ), and u(t), a time delay {circumflex over (τ)} of the system for performing the desired motion; and improving a condition of the subject by stimulating sensory neurons of the subject through transmission, via a transmitting device, of a visual stimulation signal to the sensory neurons of the subject, the visual stimulation signal being generated based upon the estimated time delay, and the visual stimulation signal increasing a speed of the sensory neurons of the subject, the computing of the delayed sensory state vector x(t−τ) comprising the use of the following equation: x ( t - τ ) = G ( t - τ ) x 0 + G ( t - τ ) ∫ 0 t - τ G - 1 ( s ) B ( s ) u ( s ) ds where x 0 is an initial sensory state, and where t is time and τ is the actual time delay. 2. A method of estimating time delay of a sensorimotor control system in a subject, comprising: obtaining Jacobian matrices that respectively describe sensory states G(t) and motor control B(t) of the system; obtaining a control vector u(t) describing neural motor commands from a neural network of the subject that dictate a desired motion or task of a muscle of the subject, the desired motion or task being described by a reference trajectory r(t); computing, based on G(t), B(t), and u(t), a delayed sensory state of the system, described by vector x(t−τ); estimating a time delay {circumflex over (τ)} of the system for performing the desired motion; and improving a condition of the subject by stimulator sensor neurons of the subject through transmission, via a transmitting device, of a visual stimulation signal to the sensory neurons of the subject, the visual stimulation signal being generated based upon the estimated time delay, and the visual stimulation signal increasing a speed of the sensory neurons of the subject, the estimating of the time delay comprising the use of the following equation: d τ ^ d t = ηζ ∂ G ( t - τ ^ ) ∂ τ ^ [ x 0 + ∫ 0 t - τ ^ ( B ( s ) / G ( s )
Visual stimuli · CPC title
Human Necessities · mapped topic
ICT specially adapted for the handling or processing of medical images (computed tomography A61B6/03) · CPC title
Brain · CPC title
using correlation, e.g. template matching or determination of similarity · CPC title
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