| Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control AL Orsborn, HG Moorman, SA Overduin, MM Shanechi, DF Dimitrov, ... Neuron 82 (6), 1380-1393, 2014 | 287 | 2014 |
| Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions AL Orsborn, S Dangi, HG Moorman, JM Carmena IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (4 …, 2012 | 193 | 2012 |
| Cortical representation of ipsilateral arm movements in monkey and man K Ganguly, L Secundo, G Ranade, A Orsborn, EF Chang, DF Dimitrov, ... Journal of Neuroscience 29 (41), 12948-12956, 2009 | 185 | 2009 |
| Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates CH Chiang, SM Won, AL Orsborn, KJ Yu, M Trumpis, B Bent, C Wang, ... Science translational medicine 12 (538), eaay4682, 2020 | 182 | 2020 |
| Robust brain-machine interface design using optimal feedback control modeling and adaptive point process filtering MM Shanechi, AL Orsborn, JM Carmena PLoS computational biology 12 (4), e1004730, 2016 | 122 | 2016 |
| Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces S Dangi, AL Orsborn, HG Moorman, JM Carmena Neural computation 25 (7), 1693-1731, 2013 | 119 | 2013 |
| Rapid control and feedback rates enhance neuroprosthetic control MM Shanechi, AL Orsborn, HG Moorman, S Gowda, S Dangi, ... Nature communications 8 (1), 13825, 2017 | 113 | 2017 |
| Subject-specific modulation of local field potential spectral power during brain–machine interface control in primates K So, S Dangi, AL Orsborn, MC Gastpar, JM Carmena Journal of neural engineering 11 (2), 026002, 2014 | 84 | 2014 |
| Creating new functional circuits for action via brain-machine interfaces AL Orsborn, JM Carmena Frontiers in computational neuroscience 7, 157, 2013 | 62 | 2013 |
| Parsing learning in networks using brain–machine interfaces AL Orsborn, B Pesaran Current opinion in neurobiology 46, 76-83, 2017 | 57 | 2017 |
| Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces S Dangi, S Gowda, HG Moorman, AL Orsborn, K So, M Shanechi, ... Neural computation 26 (9), 1811-1839, 2014 | 51 | 2014 |
| Designing dynamical properties of brain–machine interfaces to optimize task-specific performance S Gowda, AL Orsborn, SA Overduin, HG Moorman, JM Carmena IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (5 …, 2014 | 38 | 2014 |
| Multi-scale neural decoding and analysis HY Lu, ES Lorenc, H Zhu, J Kilmarx, J Sulzer, C Xie, PN Tobler, ... Journal of neural engineering 18 (4), 045013, 2021 | 34 | 2021 |
| Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings AL Orsborn, C Wang, K Chiang, MM Maharbiz, J Viventi, B Pesaran 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 398-401, 2015 | 28 | 2015 |
| Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces AL Orsborn, S Dangi, HG Moorman, JM Carmena 2011 annual international conference of the IEEE engineering in medicine and …, 2011 | 28 | 2011 |
| System architecture for stiffness control in brain–machine interfaces R Héliot, AL Orsborn, K Ganguly, JM Carmena IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010 | 26 | 2010 |
| High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder MM Shanechi, A Orsborn, H Moorman, S Gowda, JM Carmena 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 24 | 2014 |
| Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG M Trumpis, CH Chiang, AL Orsborn, B Bent, J Li, JA Rogers, B Pesaran, ... Journal of neural engineering 18 (3), 036011, 2021 | 23 | 2021 |
| Biosignal-based co-adaptive user-machine interfaces for motor control MM Madduri, SA Burden, AL Orsborn Current Opinion in Biomedical Engineering 27, 100462, 2023 | 14 | 2023 |
| A game-theoretic model for co-adaptive brain-machine interfaces MM Madduri, SA Burden, AL Orsborn 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021 | 14 | 2021 |
