Las Cruces, NM, United States of America

Thomas C Eskridge

This inventor holds 1 USPTO granted patent. Top assignee: New Mexico State University. Active years: 1994.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Thomas C Eskridge. Retrieved from https://idiyas.com/inventor/thomas-c-eskridge-uygzcj55

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 147(Granted Patents)


Company Filing History:


Years Active: 1994

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Thomas C. Eskridge

Introduction

Thomas C. Eskridge is a notable inventor based in Las Cruces, New Mexico. He has contributed to the field of neural processing technology with a significant patent that addresses challenges in temporal signal processing.

Latest Patents

Eskridge holds a patented invention titled "Asynchronous Temporal Neural Processing Element." This innovative processing element is designed to solve various problems associated with temporal signal processing and is meticulously modeled on the sub-cellular biology and electrophysiology of neurons that utilize chemical synapses.

Career Highlights

Currently, Thomas C. Eskridge is associated with the New Mexico State University Technology Transfer Corporation. His work focuses on translating academic research into practical applications that can be utilized in technology and industry.

Collaborations

Throughout his career, Eskridge has worked alongside colleagues such as Mark R. DeYong and Randall L. Findley. Their collaboration emphasizes the importance of teamwork in advancing research and developing pioneering solutions within the realms of neural processing and signal technology.

Conclusion

Thomas C. Eskridge’s contributions to the field of neural processing are both innovative and impactful. His work not only advances the understanding of neural mechanisms but also has the potential to drive future technologies in signal processing applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…