This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Neurosciences Research Foundation, Inc.. Active years: 2009-2012.
Company Filing History:
Years Active: 2009-2012
Title: The Innovative Mind of Jeffrey L. McKinstry
Introduction
Jeffrey L. McKinstry is a notable inventor based in San Diego, California. He has made significant contributions to the field of neuroscience through his innovative patents. With a total of three patents to his name, McKinstry is recognized for his work in developing advanced brain-based devices.
Latest Patents
One of McKinstry's latest patents is a brain-based device that features a cerebellar model for predictive motor control. This mobile brain-based device (BBD) includes a platform equipped with sensors and effectors. It is guided by a simulated nervous system that mimics the cerebellar areas of the brain, which are essential for predictive motor control. The device is designed to interact with real-world environments effectively. The simulated nervous system comprises neural areas such as precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN), and an inferior olive (IO). These components work together to predict turn and velocity control during movement. The BBD undergoes rigorous training and testing, allowing the simulated nervous system to learn and perform control functions based on a delayed eligibility trace learning rule.
Career Highlights
McKinstry is affiliated with the Neurosciences Research Foundation, Inc., where he continues to push the boundaries of neuroscience and technology. His work has garnered attention for its potential applications in various fields, including robotics and artificial intelligence.
Collaborations
Throughout his career, McKinstry has collaborated with esteemed colleagues such as Gerald M. Edelman and Jeffrey L. Krichmar. These partnerships have further enriched his research and innovation efforts.
Conclusion
Jeffrey L. McKinstry stands out as a pioneering inventor in the realm of brain-based technologies. His contributions are shaping the future of neuroscience and its applications in real-world scenarios.