Pavan Mehrotra
Papers
2
Total Citations
10
H-Index
2
About
Pavan Mehrotra is a researcher at the intersection of systems neuroscience and open-source tool development, with a primary focus on enabling realtime data processing for in-vivo neural studies. His most cited work, "An open-source realtime computational platform" (2018, 5 citations), addresses a critical bottleneck in systems neuroscience: the need for low-latency processing of behavioral events—such as limb movement—alongside neural signals like action potentials. By creating an accessible, realtime platform, Mehrotra empowers laboratories to monitor and respond to dynamic experimental conditions without relying on proprietary or expensive hardware. This contribution is particularly valuable for closed-loop experiments, where immediate feedback from neural or behavioral data is essential. While his citation count is modest, the work’s open-source nature amplifies its impact, providing a foundation for reproducible and scalable neuroscience research. Mehrotra’s efforts exemplify a commitment to democratizing computational tools, making advanced realtime analysis feasible for a broader community of scientists studying brain-behavior relationships in living models.
Research Focus
Key Achievements
Top Papers
- 1An open-source realtime computational platform (short WIP paper)5 citations · 2018
- 2An open-source realtime computational platform (short WIP paper)5 citations · 2018