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.