Portola Valley, CA, United States of America

David Sussillo

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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5 patents (USPTO):Explore Patents

Title: The Innovations of David Sussillo

Introduction

David Sussillo is a prominent inventor based in Portola Valley, CA (US). He has made significant contributions to the field of brain-machine interfaces, holding a total of 5 patents. His work focuses on developing systems that enhance the interaction between neural signals and devices, paving the way for advancements in medical technology.

Latest Patents

Sussillo's latest patents include groundbreaking inventions such as "Systems and methods for intracortical brain machine interface decoding." This invention provides a brain-machine interface (BMI) that utilizes a neural decoder to control devices. The neural decoder is designed as a neural to kinematic mapping function, which takes neural signals as input and outputs kinematics to control the device. The continuous-time multiplicative recurrent neural network used in this decoder is trained to improve robustness against perturbations in neural data, which is crucial for clinical applications. Another notable patent is the "Multiplicative recurrent neural network for fast and robust intracortical brain machine interface decoders," which shares similar advantages and addresses the challenges faced in current BMI technologies.

Career Highlights

Throughout his career, David Sussillo has worked with esteemed organizations such as Leland Stanford Junior University and Google Inc. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to innovative research.

Collaborations

Some of his notable coworkers include Jonathan C Kao and Sergey Stavisky. Their collaborative efforts have further advanced the research and development of brain-machine interfaces.

Conclusion

David Sussillo's contributions to the field of brain-machine interfaces demonstrate his commitment to innovation and improving clinical applications. His patents reflect a deep understanding of neural decoding and its potential to enhance device control, marking him as a significant figure in the realm of technological advancements.

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