Sabar Dasgupta

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About

Sabar Dasgupta is a researcher whose work sits at the intersection of systems neuroscience and open-source tool development. His primary focus is on enabling realtime data processing for in-vivo neural studies—a critical need for experiments that must simultaneously monitor behavioral events, such as limb movement, and neural signals, like action potentials. His most cited work, "An open-source realtime computational platform," introduces a freely available framework designed to handle these high-speed, multi-modal data streams. By providing a platform that can process and react to neural and behavioral events in real time, Dasgupta’s contribution helps bridge the gap between raw data acquisition and closed-loop experimentation. While his citation count is currently modest, the practical, infrastructure-focused nature of his work positions it as a foundational resource for labs building custom experimental setups. For students and researchers entering systems neuroscience, Dasgupta’s platform represents a valuable, accessible entry point into the technical demands of modern in-vivo research.