This inventor holds 2 USPTO granted patents and 3 EPO patents. Top assignee: Commissariat a L'energie Atomique Et Aux Energies Alternatives. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Innovations by Alexandre Moly in Neural Interface Calibration
Introduction
Alexandre Moly is an accomplished inventor based in Grenoble, France. He has made significant contributions to the field of neural interfaces, particularly in calibration methods that enhance their functionality. With a total of 2 patents, Moly's work is at the forefront of technological advancements in this area.
Latest Patents
Moly's latest patents include an "Iterative calibration method for a direct neural interface using a Markov mixture of experts with multivariate regression." This invention focuses on calibrating a direct neural interface with continuous coding. The observation variable is modeled by a Hidden Markov Model (HMM), and the control variable is estimated using a Markov mixture of experts. Each expert corresponds to a state of the model, and during calibration, predictive models are trained to enhance accuracy.
Another notable patent is the "Method for calibrating on-line and with forgetting factor a direct neural interface with penalized multivariate regression." This method allows for real-time calibration of a direct neural interface through Recursive Exponentially Weighted N-way Partial Least Squares (REW-NPLS) regression. The calibration process involves a PARAFAC iterative decomposition, which optimizes the relationship between input and output calibration tensors.
Career Highlights
Alexandre Moly is affiliated with the Commissariat à l'énergie atomique et aux énergies alternatives, a prominent research institution in France. His work there has been instrumental in developing innovative solutions for neural interface technology. Moly's expertise in multivariate regression and machine learning techniques has positioned him as a key figure in this specialized field.
Collaborations
Moly has collaborated with notable colleagues, including Tetiana Aksenova and Alexandre Aksenov. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in neural interface technology.
Conclusion
Alexandre Moly's contributions to the field of neural interfaces through his innovative patents demonstrate his commitment to advancing technology. His work not only enhances the functionality of neural interfaces but also paves the way for future innovations in this critical area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
