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Neurotechnology engineer building personalized electrophysiology, neuromodulation, and AI-enabled systems for memory, cognition, neuroplasticity, and stroke or spinal recovery.​

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​I develop MRI guided targeting, behavioral training, and real time data systems that turn complex neuroscience into robust datasets, algorithms, and clinically relevant neurotechnology.

About me 

I build personalized systems for electrophysiological recording, neuromodulation, and AI enabled analysis across brain, spinal, and cognitive applications.

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My work combines MRI guided targeting, behavioral training, and real time data systems to study memory, cognition, neuroplasticity, and recovery after stroke or spinal injury.

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I work with clinicians, device engineers, and data scientists to turn complex neuroscience questions into testable protocols, analyzable datasets, and actionable design constraints, and to build tools and algorithms for clinical neurotechnology, next generation brain computer interfaces, brain spine interfaces, and digital therapeutics.

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What I build

Personalized neurotechnology systems

End to end electrophysiology and neuromodulation workflows tailored to the question, model, and therapeutic goal.

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MRI guided targeting and implantation

Personalized imaging driven strategies for accurate electrode placement and experimental planning.

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Real time data and AI

Real time acquisition, signal processing, and AI enabled analysis for closed loop experiments and translational neurotechnology development.

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From mechanism to application

Tools, datasets, and algorithms designed to de risk clinical neurotechnology, brain spine interfaces, and digital therapeutics.

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Selected Research

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Studying hippocampal cortical mechanisms of memory to develop datasets, stimulation strategies, and translational frameworks for cognitive neurotechnology.

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Developing neuromodulation approaches and data systems for recovery related applications that connect brain, spinal, and behavioral mechanisms to translational intervention design.

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Investigating how neural circuits adapt during learning and recovery to inform neuromodulation strategies and therapeutic design.

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Using behavioral and computational approaches to link motor control, dopamine related function, and translational models relevant to movement disorders and neurorehabilitation.

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My projects connect fundamental neuroscience with translational neurotechnology, spanning memory, neuroplasticity, precision motor control, and neuromodulation. They focus on building experimental platforms, computational tools, and stimulation strategies that can inform future neurotechnology products and therapies.

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I build neurotechnology that is precise, data rich, and translational by design. If you are working on brain computer interfaces, neuromodulation, brain spine interfaces, or digital therapeutics, I would be glad to connect. 

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Email: ankurguptaneuro[AT]gmail.com

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