Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Katie Z. Zhuang"'
Autor:
Mikhail A. Lebedev, Andrew J. Tate, Timothy L. Hanson, Zheng Li, Joseph E. O'Doherty, Jesse A. Winans, Peter J. Ifft, Katie Z. Zhuang, Nathan A. Fitzsimmons, David A. Schwarz, Andrew M. Fuller, Je Hi An, Miguel A. L. Nicolelis
Publikováno v:
Clinics, Vol 66, Pp 25-32 (2011)
Neuroprosthetic devices based on brain-machine interface technology hold promise for the restoration of body mobility in patients suffering from devastating motor deficits caused by brain injury, neurologic diseases and limb loss. During the last dec
Externí odkaz:
https://doaj.org/article/22ccb9f11c394a8c963372d7904cd21e
Autor:
Yoon Woo Byun, Mikhail A. Lebedev, David B. MacLeod, Allen Yin, Roberto J. Manson, Laura M. O. Oliveira, Katie Z. Zhuang, Max O. Krucoff, Dennis A. Turner
Publikováno v:
Journal of neurophysiology. 118(3)
Lower limb paralysis from spinal cord injury (SCI) or neurological disease carries a poor prognosis for recovery and remains a large societal burden. Neurophysiological and neuroprosthetic research have the potential to improve quality of life for th
Autor:
Mikhail A. Lebedev, Mohamed Bouri, Katie Z. Zhuang, Tristan Vouga, Jeremy Olivier, Hannes Bleuler, Miguel A. L. Nicolelis
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 25(2)
Recent advances in the field of brain–machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake b
Autor:
Dragan F. Dimitrov, Peter J. Ifft, Zheng Li, Timothy L. Hanson, Vivek Subramanian, Sankaranarayani Rajangam, Miguel A. L. Nicolelis, Arjun Ramakrishnan, Katie Z. Zhuang, Gary Lehew, Andrew J. Tate, Jim Meloy, David Alexander Schwarz, Mikhail A. Lebedev
Publikováno v:
Nature methods
Advances in techniques for recording large-scale brain activity contribute to both the elucidation of neurophysiological principles and the development of brain-machine interfaces (BMIs). Here we describe a neurophysiological paradigm for performing
Autor:
Miguel A. L. Nicolelis, Jesse A. Winans, Joseph E. O'Doherty, Mikhail A. Lebedev, Timothy L. Hanson, Zheng Li, Peter J. Ifft, Andrew J. Tate, Katie Z. Zhuang, Nathan A. Fitzsimmons, Je Hi An, Andrew M. Fuller, David Alexander Schwarz
Publikováno v:
Clinics
Clinics, Volume: 66 Supplement 1, Pages: 25-32, Published: 2011
Clinics; v. 66, supl. 1 (2011); 25-32
Clinics; v. 66, suppl. 1 (2011); 25-32
Universidade de São Paulo (USP)
instacron:USP
ResearcherID
Clinics, Vol 66, Pp 25-32 (2011)
Clinics, Volume: 66 Supplement 1, Pages: 25-32, Published: 2011
Clinics; v. 66, supl. 1 (2011); 25-32
Clinics; v. 66, suppl. 1 (2011); 25-32
Universidade de São Paulo (USP)
instacron:USP
ResearcherID
Clinics, Vol 66, Pp 25-32 (2011)
Neuroprosthetic devices based on brain-machine interface technology hold promise for the restoration of body mobility in patients suffering from devastating motor deficits caused by brain injury, neurologic diseases and limb loss. During the last dec
Autor:
Yoon Woo Byun, Miguel A. L. Nicolelis, Mikhail A. Lebedev, Arjun Ramakrishnan, Katie Z. Zhuang, Peter J. Ifft, Miguel Pais-Vieira
Publikováno v:
Scientific Reports
Traditionally, brain-machine interfaces (BMIs) extract motor commands from a single brain to control the movements of artificial devices. Here, we introduce a Brainet that utilizes very-large-scale brain activity (VLSBA) from two (B2) or three (B3) n
Correlation between cortical activity and electromyographic (EMG) activity of limb muscles has long been a subject of neurophysiological studies, especially in terms of corticospinal connectivity. Interest in this issue has recently increased due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d947e99fbe63740c2026412ed11cc01
https://europepmc.org/articles/PMC4254874/
https://europepmc.org/articles/PMC4254874/
Autor:
Solaiman Shokur, Miguel A. L. Nicolelis, Joseph E. O'Doherty, Mikhail A. Lebedev, Peter J. Ifft, Katie Z. Zhuang, Hannes Bleuler
Publikováno v:
Nature
Brain-machine interfaces use neuronal activity recorded from the brain to establish direct communication with external actuators, such as prosthetic arms. It is hoped that brain-machine interfaces can be used to restore the normal sensorimotor functi
Publikováno v:
The Journal of experimental biology. 214(Pt 7)
SUMMARY The weakly electric glass knifefish, Eigenmannia virescens, will swim forward and backward, using propulsion from an anal ribbon fin, in response to motion of a computer-controlled moving refuge. Fish were recorded performing a refuge-trackin
Autor:
Francesco Maria Petrini, Aude Billard, Fiorenzo Artoni, Edoardo D'Anna, Nicolas Sommer, Giuseppe Granata, Vincent Mendez, Katie Z. Zhuang, Silvestro Micera, Emanuele Formento, Giovanni Cannaviello, Saurav Aryan, Wassim Raffoul
Publikováno v:
Nature Machine Intelligence
Myoelectric prostheses allow users to recover lost functionality by controlling a robotic device with their remaining muscle activity. Such commercial devices can give users a high level of autonomy, but still do not approach the dexterity of the int