Mikhail A. Lebedev
Affiliations: | Duke University, Durham, NC |
Area:
Sensory, motor and cognitive neurophysiologyGoogle:
"Mikhail Lebedev"Mean distance: 13.09 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Randall J. Nelson | grad student | 1991-1995 | University of Tennessee |
| Mathew E. Diamond | post-doc | 1995-1997 | SISSA |
| Steven P. Wise | post-doc | 1997-2002 | NIMH |
| Miguel A. Nicolelis | research scientist | 2002- | Duke |
| Victor Semenovich Gurfinkel | research scientist | 1986-1991 | Institute for the Problems of Information Transmission |
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Publications
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| Yakovlev L, Syrov N, Miroshnikov A, et al. (2023) Event-Related Desynchronization Induced by Tactile Imagery: an EEG Study. Eneuro. 10 |
| Wen S, Yin A, Tseng PH, et al. (2021) Capturing spike train temporal pattern with wavelet average coefficient for brain machine interface. Scientific Reports. 11: 19020 |
| Smetanin N, Belinskaya A, Lebedev MA, et al. (2020) Digital filters for low-latency quantification of brain rhythms in real-time. Journal of Neural Engineering |
| Volkova K, Lebedev MA, Kaplan A, et al. (2019) Decoding Movement From Electrocorticographic Activity: A Review. Frontiers in Neuroinformatics. 13: 74 |
| Lebedev MA, Ossadtchi A, Mill NA, et al. (2019) Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics. Scientific Reports. 9: 18978 |
| O'Doherty JE, Shokur S, Medina LE, et al. (2019) Creating a neuroprosthesis for active tactile exploration of textures. Proceedings of the National Academy of Sciences of the United States of America |
| Martins NRB, Angelica A, Chakravarthy K, et al. (2019) Human Brain/Cloud Interface. Frontiers in Neuroscience. 13: 112 |
| Tseng PH, Urpi NA, Lebedev M, et al. (2019) Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network. Neural Computation. 1-29 |
| Smetanin N, Volkova K, Zabodaev S, et al. (2018) NFBLab-A Versatile Software for Neurofeedback and Brain-Computer Interface Research. Frontiers in Neuroinformatics. 12: 100 |
| Shokur S, Donati ARC, Campos DSF, et al. (2018) Training with brain-machine interfaces, visuo-tactile feedback and assisted locomotion improves sensorimotor, visceral, and psychological signs in chronic paraplegic patients. Plos One. 13: e0206464 |