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Citations on Google Scholar.

Journal Articles


  • “Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury” under review
  • E Martin Moraud, J von Zitzewitz, J Miehlbradt, S Wurth, E Formento, J DiGiovanna, M Capogrosso, G Courtine and S Micera. “Closed-loop control of trunk posture improves locomotion through the regulation of leg proprioceptive feedback after spinal cord injury” in press









Peer Reviewed Conference Proceedings


  • J. Lee, J. DiGiovanna, L. Friedli, G. Courtine, and S. Micera, “Multi-Unit Firing Rate Features in Hindlimb Sensory-Motor Cortex Reflect Over-Ground Locomotion in Rats” IEEE EMBC Conf on Neural Eng, San Diego 2013
  • E. Martin Moraud, N. Wenger, J. Gandar, J. DiGiovanna, P. Musienko, G. Courtine, and S. Micera, “A Real-Time Platform for Studying the Modulatory Capacity of Epidural Stimulation after Spinal Cord Injury” IEEE EMBC Conf on Neural Eng, San Diego 2013
  • T. A. K. Nguyen, W. Gong, W. Poppendieck, J. DiGiovanna, and S. Micera, “Investigating Ocular Movements and Vestibular Evoked Potentials for a Vestibular Neuroprosthesis: Response to Pulse Trains and Baseline Stimulation” IEEE EMBC Conf on Neural Eng, San Diego 2013


  • T. A. K. Nguyen, J. DiGiovanna, D. M. Merfeld, and S. Micera, “Comparing Artifact Reduction Methods for Recording Vestibular Evoked Potentials in a Vestibular Neuroprosthesis,” (submitted) IEEE EMBC Conference, San Diego 2012






  • J. DiGiovanna, B. Mahmoudi, J. Mitzelfelt, J. C. Sanchez, and J. C. Principe, “ Brain-Mchine Interface Control via Reinforcement Learning,” in IEEE EMBS Conference on Neural Engineering Kohala Coast, 2007.
  • B. Mahmoudi, J. DiGiovanna, J. C. Principe, and J. C. Sanchez, “Neuronal Shaping in a Co-Adaptive Brain Machine Interface,” in COSYNE, Salt Lake City, Utah, 2007.
  • J. DiGiovanna, L. Marchal, P. Rattanatamrong, M. Zhao, S. Darmanjian, B. Mahmoudi, J.Sanchez, J. Principe, L. Hermer-Vazquez, R. Figueiredo, and J. Fortes, “Towards Real-Time Distributed Signal Modeling for Brain Machine Interfaces,” in International Conference on Computational Science, 2007.


PhD Dissertation

J. DiGiovanna, Changing the Brain Machine Interface Paradigm: Co-adaptation based on Reinforcement Learning, Ph. D. Dissertation, University of Florida, Gainesville, FL [abstract only due to publishing agreements]

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