Publications

The most up-to-date list of publications can be found on Google Scholar or PubMed.

Preprints

  • V. R. Athalye, P. Khanna, S. Gowda, A. L. Orsborn, R. M. Costa, and J. M. Carmena (2021). The brain sues invariant dynamics to generalize outputs across movements. Bioarxiv (link, open)
  • A. K. You, B. Liu, A. Singhal, S. Gowda, H. Moorman, A. L. Orsborn, K. Ganguly, J. M. Carmena (2019). Flexible modulation of neural variance facilitates neuroprosthetic skill learning. Bioarxiv (link, open)


  • Research journal articles

  • C.-H. Chiang*, S. M. Won*, A. L. Orsborn*, K. J. Yu*, M. Trumpis, B. Bent, C. Wang, Y. Xue, S. Min, V. Woods, C. Yu, B. H. Kim, S. B. Kim, R. Huq, J. Li, K. J. Seo, F. Vitale, A. Richardson, H. Fang, Y. Huang, K. Shepard, B. Pesaran, J. A. Rogers, J. Viventi (2020). Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates. Science Translational Medicine (link)
  • M. Shanechi*,A. L. Orsborn*, H.G. Moorman*, S. Gowda*, and J.M. Carmena (2017). Rapid control and feedback rates enhance neuroprosthetic control. Nature Communications (link, open)
  • M. Shanechi , A.L. Orsborn*, and J.M. Carmena (2016). Robust brain-machine interface design using optimal feedback control modeling and adaptive point process filtering. PLoS Computational Biology F1000 recommended (link, open)
  • A.L. Orsborn, H.G. Moorman, S.A. Overduin, M. M. Shanechi, D. Dimitrov, and J.M. Carmena (2014) Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control, Neuron (journal cover article) (link)
  • S. Dangi, S. Gowda, H.G. Moorman, A.L. Orsborn, K. So, M. M. Shanechi, and J.M. Carmena (2014) Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces, Neural Computation (link)
  • S. Gowda, A.L. Orsborn, S.A. Overduin, H.G. Moorman, and J.M. Carmena (2014) Designing dynamical properties of brain-machine interfaces to optimize task-specific performance, IEEE Transactions on Neural Systems and Rehabilitation Engineering (link)
  • K. So*, S. Dangi*, A.L. Orsborn, M.C. Gastpar, and J.M. Carmena (2014) Subject-specific modulation of local field potential spectral power during brain-machine interface control in primates, Journal of Neural Engineering (link)
  • S. Dangi*, A.L. Orsborn*, H.G. Moorman, and J.M. Carmena (2013) Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces. Neural Computation(link)
  • A.L. Orsborn, S. Dangi, H.G. Moorman, and J.M. Carmena (2012) Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions. IEEE Transactions on Neural Systems and Rehabilitation Engineering (link)
  • R. Héliot, A.L. Orsborn, K. Ganguly, and J.M. Carmena (2010) System architecture for stiffness control in brain-machine interfaces. IEEE Transactions on Systems, Man and Cybernetics, part A (link)
  • K. Ganguly, L. Secundo, G. Ranade, A.L. Orsborn, E. Chang, D. Dimitrov, J.D. Wallis, N.M. Barbaro, R.T. Knight, J.M. Carmena (2009) Cortical representation of ipsilateral arm movements in monkey and man. Journal of Neuroscience(link, open)


  • Review articles, book chapters, perspectives pieces

  • H.-Y. lu, E. S. Lorenc, H. Zhu, J. Kilmarx, J. Sulzer, C. Xie, P.N. Tobler, A. J. Watrous, A. L. Orsborn, J. Lewis-Peacock, and S. R. Santacruz (2021). Multi-scale neural decoding and analysis. Journal of Neural Engineering (link)
  • R. A. Canfield, A. L. Orsborn, G. D. Horwitz (2021). Windows and Periscopes into Primate Behavior. Cell Reports (link)
  • P. Rajeswaran and A. L. Orsborn. (2021) Neural Interface Translates Thoughts into Type. Nature (link)
  • A.L. Orsborn and B. Pesaran (2017) Parsing learning in networks using brain-machine interfaces, Current Opinions in Neurobiology (link)
  • A.L. Orsborn and J.M. Carmena (2013) Creating new functional circuits for action via brain-machine interfaces, Frontiers in Computational Neuroscience (link, open)
  • A.L. Orsborn and J.M. Carmena, (2013) Cortical Control of Limb Prosthesis. In: D. Jaeger, R. Jung (Ed.) Encyclopedia of Computational Neuroscience: Springer Reference. Springer-Verlag Berlin Heidelberg.


  • Peer-reviewed conference proceedings

  • M.M. Madduri, S.A. Burden, and A.L. Orsborn. (2021) A game-theoretic model for co-adaptive brain-machine interfaces, Proceedings of the 10th International Conference IEEE EMBS Neural Engineering, virtual. (link)
  • J. Kleinbart, A. L. Orsborn, John S. Choi, C. Wang, S. Qiao, J. Viventi, B. Pesaran (2018) A modular implant system for multimodal recording and manipulation of the primate brain, 39th International conference IEEE EMBS, Honolulu, HI.
  • J. S. Choi, V. Goncharov, J. Kleinbart, A. L. Orsborn, B. Pesaran (2018) Monkey-MIMMS: Towards automated cellular resolution large-scale two-photon microscopy in the awake macaque monkey, 39th International conference IEEE EMBS, Honolulu, HI.
  • S. Qiao, K. Brown, A. L. Orsborn, B. Ferrentino, B. Pesaran (2016) Development of semi-chronic microdrive system for large-scale circuit mapping in macaque mesolimbic and basal ganglia systems, 38th International conference IEEE EMBS, Orlando, FL.
  • A. L. Orsborn, C. Wang, K. Chiang, M. M. Maharbiz, J. Viventi, and B. Pesaran (2015) Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potential, and spike recordings, Proceedings of the 7th International Conference IEEE EMBS Neural Engineering, Montpellier, France.
  • M. Shanechi, A.L. Orsborn, H.G. Moorman, S. Gowda, and J.M. Carmena (2014) High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder. Proceedings of the 36th Annual International Conference IEEE EMBS, Chicago, IL.
  • A.L. Orsborn, K. So, S. Dangi, and J.M. Carmena (2013) Comparison of neural activity during closed-loop control of spike- or LFP-based brain-machine interfaces. Proceedings of the 6th International Conference IEEE EMBS Neural Engineering, San Diego, CA.
  • S. Dangi, K. So, A.L. Orsborn, M. Gastpar, and J.M. Carmena (2013) Brain-machine interface control using broadband spectral power from local field potentials. Proceedings of the 35th Annual International Conference IEEE EMBS, Osaka, Japan.
  • S. Gowda, A.L. Orsborn, and J.M. Carmena (2012) Parameter estimation for maximizing controllability of linear brain-machine interfaces. Proceedings of the 34th Annual International Conference IEEE EMBS, San Diego, CA.
  • A.L. Orsborn*, S. Dangi*, H.G. Moorman, and J.M. Carmena (2011) Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces. Proceedings of the 33rd Annual International Conference IEEE EMBS, Boston, MA.
  • K. Ganguly, A.L. Orsborn, A.C. Koralek, J.D. Long, S. Dangi, J. Schulman, S. Gowda, H.G. Moorman, and J.M. Carmena (2011). Learning Mechanisms Underlying Neuroprosthetic Control. Proceedings of the 33rd Annual International Conference IEEE EMBS, Boston, MA.
  • R. Héliot, A.L. Orsborn, and J.M. Carmena, (2008) Stiffness control of 2-DOF exoskeleton for brain-machine interfaces. Proceedings of the 2nd IEEE RAS / EMBS International Conference on Biomedical Robotics and Biomechatronics, Scottsdale, AZ.