| Coadaptive brain–machine interface via reinforcement learning J DiGiovanna, B Mahmoudi, J Fortes, JC Principe, JC Sanchez IEEE transactions on biomedical engineering 56 (1), 54-64, 2008 | 203 | 2008 |
| A symbiotic brain-machine interface through value-based decision making B Mahmoudi, JC Sanchez PloS one 6 (3), e14760, 2011 | 98 | 2011 |
| Using reinforcement learning to provide stable brain-machine interface control despite neural input reorganization EA Pohlmeyer, B Mahmoudi, S Geng, NW Prins, JC Sanchez PloS one 9 (1), e87253, 2014 | 86 | 2014 |
| Real-time ocular artifact suppression using recurrent neural network for electro-encephalogram based brain-computer interface A Erfanian, B Mahmoudi Medical and Biological Engineering and Computing 43, 296-305, 2005 | 74 | 2005 |
| Less is more: novel less-invasive surgical techniques for mesial temporal lobe epilepsy that minimize cognitive impairment RE Gross, B Mahmoudi, JP Riley Current opinion in neurology 28 (2), 182-191, 2015 | 72 | 2015 |
| An inductively-powered wireless neural recording and stimulation system for freely-behaving animals B Lee, Y Jia, SA Mirbozorgi, M Connolly, X Tong, Z Zeng, B Mahmoudi, ... IEEE transactions on biomedical circuits and systems 13 (2), 413-424, 2019 | 68 | 2019 |
| Electro-encephalogram based brain–computer interface: improved performance by mental practice and concentration skills B Mahmoudi, A Erfanian Medical and Biological Engineering and Computing 44, 959-969, 2006 | 66 | 2006 |
| Real-time in vivo optogenetic neuromodulation and multielectrode electrophysiologic recording with NeuroRighter NG Laxpati, B Mahmoudi, CA Gutekunst, JP Newman, R Zeller-Townson, ... Frontiers in neuroengineering 7, 40, 2014 | 63 | 2014 |
| Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants JC Sanchez, B Mahmoudi, J DiGiovanna, JC Principe Neural Networks 22 (3), 305-315, 2009 | 56 | 2009 |
| Towards autonomous neuroprosthetic control using Hebbian reinforcement learning B Mahmoudi, EA Pohlmeyer, NW Prins, S Geng, JC Sanchez Journal of neural engineering 10 (6), 066005, 2013 | 51 | 2013 |
| An inductively-powered wireless neural recording system with a charge sampling analog front-end SB Lee, B Lee, M Kiani, B Mahmoudi, R Gross, M Ghovanloo IEEE sensors journal 16 (2), 475-484, 2015 | 45 | 2015 |
| Brain-machine interface control of a robot arm using actor-critic rainforcement learning EA Pohlmeyer, B Mahmoudi, S Geng, N Prins, JC Sanchez 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 38 | 2012 |
| Single-channel EEG-based prosthetic hand grasp control for amputee subjects B Mahmoudi, A Erfanian Proceedings of the Second Joint 24th Annual Conference and the Annual Fall …, 2002 | 36 | 2002 |
| Control of a center-out reaching task using a reinforcement learning brain-machine interface JC Sanchez, A Tarigoppula, JS Choi, BT Marsh, PY Chhatbar, ... 2011 5th International IEEE/EMBS Conference on Neural Engineering, 525-528, 2011 | 35 | 2011 |
| Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation MSE Sendi, AC Waters, V Tiruvadi, P Riva-Posse, A Crowell, F Isbaine, ... Translational psychiatry 11 (1), 551, 2021 | 30 | 2021 |
| Towards real-time distributed signal modeling for brain-machine interfaces J DiGiovanna, L Marchal, P Rattanatamrong, M Zhao, S Darmanjian, ... Computational Science–ICCS 2007: 7th International Conference, Beijing …, 2007 | 19 | 2007 |
| System and method for brain machine interface (BMI) control using reinforcement learning JF Digiovanna, B Mahmoudi, JD Mitzelfelt, JC Sanchez, JC Principe US Patent 9,050,200, 2015 | 17 | 2015 |
| Brain-machine interface control via reinforcement learning J DiGiovanna, B Mahmoudi, J Mitzelfelt, JC Sanchez, JC Principe 2007 3rd International IEEE/EMBS Conference on Neural Engineering, 530-533, 2007 | 16 | 2007 |
| A software-defined radio receiver for wireless recording from freely behaving animals Y Jia, B Lee, F Kong, Z Zeng, M Connolly, B Mahmoudi, M Ghovanloo IEEE transactions on biomedical circuits and systems 13 (6), 1645-1654, 2019 | 14 | 2019 |
| A machine learning model for exploring aberrant functional network connectivity transition in schizophrenia MSE Sendi, E Zendehrouh, Z Fu, B Mahmoudi, RL Miller, VD Calhoun 2020 IEEE southwest symposium on image analysis and interpretation (SSIAI …, 2020 | 13 | 2020 |
