Brain machine interfaces incorporating neural population dynamics

US9095455B2 · kind B2 · utility

Assignees

• The Board of Trustees of the Leland Stanford Junior University · US
• Cambridge Enterprise Limited · GB

Inventors

• Jonathan C. Kao · Los Angeles, US
• Paul Nuyujukian · Stanford, US
• Mark Churchland · New York, US
• John Cunningham · Saratoga Springs, US
• Krishna V. Shenoy · Palo Alto, US

Key dates

• Filing date: Feb 24, 2014
• Grant date: Aug 4, 2015
• Expiry date: Apr 13, 2034

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61H2230/105
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A brain-machine interface is provided that incorporates a neural dynamical structure in the control of a prosthetic device to restore motor function and is able to significantly enhance the control performance compared to existing technologies. In one example, a neural dynamical state is inferred from neural observations, which are obtained from a neural implant. In another example, the neural dynamical state can be inferred from both the obtained neural observations and from the kinematics. A controller interfaced with the prosthetic device uses the inferred neural dynamical state as input to the controller to control kinematic variables of the prosthetic device.