Company Filing History:
Years Active: 2014
Title: Vikash Gilja: Innovator in Brain Machine Interfaces
Introduction
Vikash Gilja is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of brain machine interfaces, particularly in the development of technologies that enhance the control of prosthetic devices. His innovative work has the potential to improve the quality of life for individuals with limb loss.
Latest Patents
Vikash Gilja holds a patent for a brain machine interface that enables artificial control of a prosthetic device. This patent describes a system that includes a mapping of neural signals and corresponding intention estimating kinematics, such as positions and velocities of limb trajectories. The prosthetic device is controlled through this brain machine interface, which has been modified to enhance its functionality. The modified interface incorporates a new mapping of neural signals and intention estimating kinematics, allowing for control using recorded neural brain signals from the user. A key feature of this invention is the use of a Kalman filter to model velocities as intentions and positions as feedback.
Career Highlights
Vikash Gilja is affiliated with Leland Stanford Junior University, where he continues to advance research in brain machine interfaces. His work is at the intersection of neuroscience and engineering, focusing on creating solutions that bridge the gap between human intention and machine response.
Collaborations
Some of his notable coworkers include Paul Nuyujukian and Cynthia A Chestek, who share a commitment to advancing the field of neurotechnology. Their collaborative efforts contribute to the ongoing research and development of innovative solutions in brain-computer interfaces.
Conclusion
Vikash Gilja's work in brain machine interfaces exemplifies the potential of technology to transform lives. His contributions to the field are paving the way for advancements that can significantly enhance the functionality of prosthetic devices.