Krishna V Shenoy

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Leland Stanford Junior University. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krishna V Shenoy. Retrieved from https://idiyas.com/inventor/krishna-v-shenoy-xtc3igt2

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Krishna V Shenoy

Introduction

Krishna V Shenoy is a prominent inventor known for his contributions to the field of brain-computer interfaces. His work focuses on decoding neural activity to enhance communication and control devices through neural signals. With a total of 3 patents, Shenoy has made significant strides in understanding and utilizing brain activity for practical applications.

Latest Patents

One of his latest patents is titled "Systems and methods decoding intended symbols from neural activity." This invention illustrates a symbol decoding system for brain-computer interfacing. It includes a neural signal recorder implanted into a user's brain and a symbol decoder that processes neural signal data to estimate symbols and perform associated commands. Another notable patent is "Systems and methods for intracortical brain machine interface decoding." This invention provides a brain-machine interface (BMI) that utilizes a neural decoder based on a continuous-time multiplicative recurrent neural network. This innovative approach enhances the robustness of the decoder against perturbations in neural data, improving performance in clinical settings.

Career Highlights

Krishna V Shenoy is affiliated with Leland Stanford Junior University, where he conducts research and develops technologies related to brain-computer interfaces. His work has garnered attention for its potential to revolutionize how individuals interact with devices using their neural signals.

Collaborations

Shenoy has collaborated with notable researchers in his field, including David Sussillo and Jonathan C Kao. These collaborations have contributed to the advancement of technologies that bridge the gap between neural activity and device control.

Conclusion

Krishna V Shenoy's innovative work in brain-computer interfaces exemplifies the potential of decoding neural activity for practical applications. His patents and research continue to pave the way for advancements in this exciting field.

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]
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