This inventor holds 1 USPTO granted patent. Top assignee: Brown University. Active years: 2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008
Title: The Innovations of Liam Paninski
Introduction
Liam Paninski is a prominent inventor based in Astoria, NY (US). He is known for his groundbreaking work in the field of neurological signal decoding. His innovative approach has the potential to revolutionize how devices are controlled through neurological signals.
Latest Patents
Liam Paninski holds 1 patent for his invention titled "Neurological signal decoding." This patent discloses a system that utilizes neurological control signals to operate a device. The system includes a sensor that detects the electrical activity of multiple neurons over time. Additionally, it features a vector generator that creates a neural control vector from the sensed electrical activity. The control filter applies this neural control vector to produce a control variable, which subsequently controls an output device.
Career Highlights
Liam Paninski is affiliated with Brown University, where he contributes to research and development in neuroscience and technology. His work has garnered attention for its innovative applications in understanding and utilizing brain signals.
Collaborations
Liam has collaborated with notable colleagues, including Nicholas George Hatsopoulos and John Philip Donoghue. Their combined expertise enhances the research and development efforts in the field of neurological control systems.
Conclusion
Liam Paninski's contributions to the field of neurological signal decoding exemplify the intersection of neuroscience and technology. His innovative patent has the potential to change how devices are controlled, paving the way for future advancements in this exciting area of research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
