AI-guided neuromodulation

Combining the power of biologically-inspired models and contemporary statistics

A natural outcome of building models whose internal representations mirror biological mechanisms is that they can serve as functional blueprints for neuroprosthetics and other neurotechnologies. I’ve had the opportunity to design AI pipelines that guide in vivo neuromodulation in a fully automated, data-driven, and rapid way. I’m very excited about this growing body of work (Govindarajan et al., 2022; Parker et al., 2025; Calvert et al., 2026).

References

2026

  1. Nature BME
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    Perilesional neuromodulation replaces lost sensorimotor function in persons with spinal cord injury
    Jonathan Calvert, Samuel R. Parker, Lakshmi Narasimhan Govindarajan, Radu Darie, Elias Shaaya, and 20 more authors
    Nature Biomedical Engineering, 2026

2025

  1. J. Neural Eng.
    An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation
    Samuel R Parker, Jonathan S Calvert, Radu Darie, Jaeson Jang, Lakshmi Narasimhan Govindarajan, and 6 more authors
    Journal of Neural Engineering, 2025

2022

  1. J. Neural Eng.
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    Fast inference of spinal neuromodulation for motor control using amortized neural networks
    Lakshmi Narasimhan Govindarajan, Jonathan S Calvert, Samuel R Parker, Minju Jung, Radu Darie, and 4 more authors
    Journal of neural engineering, 2022