| Mood variations decoded from multi-site intracranial human brain activity OG Sani, Y Yang, MB Lee, HE Dawes, EF Chang, MM Shanechi Nature biotechnology 36 (10), 954-961, 2018 | 215 | 2018 |
| Direct electrical stimulation of lateral orbitofrontal cortex acutely improves mood in individuals with symptoms of depression VR Rao, KK Sellers, DL Wallace, MB Lee, M Bijanzadeh, OG Sani, ... Current Biology 28 (24), 3893-3902. e4, 2018 | 163 | 2018 |
| Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation Y Yang, S Qiao, OG Sani, JI Sedillo, B Ferrentino, B Pesaran, ... Nature biomedical engineering 5 (4), 324-345, 2021 | 125 | 2021 |
| A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation Y Yang, AT Connolly, MM Shanechi Journal of neural engineering 15 (6), 066007, 2018 | 91 | 2018 |
| Dynamic network modeling and dimensionality reduction for human ECoG activity Y Yang, OG Sani, EF Chang, MM Shanechi Journal of neural engineering 16 (5), 056014, 2019 | 48 | 2019 |
| An adaptive and generalizable closed-loop system for control of medically induced coma and other states of anesthesia Y Yang, MM Shanechi Journal of neural engineering 13 (6), 066019, 2016 | 45 | 2016 |
| Developing a personalized closed-loop controller of medically-induced coma in a rodent model Y Yang, JT Lee, JA Guidera, KY Vlasov, JZ Pei, EN Brown, K Solt, ... Journal of neural engineering 16 (3), 036022, 2019 | 42 | 2019 |
| Adaptive tracking of human ECoG network dynamics P Ahmadipour, Y Yang, EF Chang, MM Shanechi Journal of Neural Engineering 18 (1), 016011, 2021 | 31 | 2021 |
| Adaptive latent state modeling of brain network dynamics with real-time learning rate optimization Y Yang, P Ahmadipour, MM Shanechi Journal of Neural Engineering 18 (3), 036013, 2021 | 24 | 2021 |
| Dynamic tracking of non-stationarity in human ECoG activity Y Yang, EF Chang, MM Shanechi 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 18 | 2017 |
| Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study H Fang, Y Yang Frontiers in Computational Neuroscience 17, 1119685, 2023 | 14 | 2023 |
| Designing and validating a robust adaptive neuromodulation algorithm for closed-loop control of brain states H Fang, Y Yang Journal of Neural Engineering 19 (3), 036018, 2022 | 12 | 2022 |
| A framework for identification of brain network dynamics using a novel binary noise modulated electrical stimulation pattern Y Yang, MM Shanechi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 8 | 2015 |
| Investigating the effect of forgetting factor on tracking non-stationary neural dynamics P Ahmadipour, Y Yang, MM Shanechi 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 291-294, 2019 | 6 | 2019 |
| A generalizable adaptive brain-machine interface design for control of anesthesia Y Yang, MM Shanechi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 6 | 2015 |
| An adaptive brain-machine interface algorithm for control of burst suppression in medical coma Y Yang, MM Shanechi 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 6 | 2014 |
| A robust and adaptive control algorithm for closed-loop brain stimulation H Fang, Y Yang 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 5 | 2021 |
| Generalized binary noise stimulation enables time-efficient identification of input-output brain network dynamics Y Yang, MM Shanechi 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 5 | 2016 |
| Closed-loop bci for the treatment of neuropsychiatric disorders OG Sani, Y Yang, MM Shanechi Brain-Computer Interface Research: A State-of-the-Art Summary 9, 121-125, 2021 | 3 | 2021 |
| Developing a closed-loop brain-computer interface for treatment of neuropsychiatric disorders using electrical brain stimulation Y Yang, OG Sani, MB Lee, HE Dawes, EF Chang, MM Shanechi Brain-Computer Interface Research: A State-of-the-Art Summary 9, 103-106, 2021 | 3 | 2021 |
Maryam M. ShanechiDepartments of Electrical & Computer Eng., Computer Science, Biomedical Eng., USCVerified email at usc.edu