Systèmes d’interface neuronale - Le futur c’est (presque) maintenant

Nicolas Y. Masse; Beata Jarosiewicz

doi:10.1051/medsci/20122811010

Accès gratuit

Numéro		Med Sci (Paris) Volume 28, Numéro 11, Novembre 2012


Page(s)		932 - 934
Section		Nouvelles
DOI		https://doi.org/10.1051/medsci/20122811010
Publié en ligne		12 novembre 2012

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Chestek CA, Gilja V, Nuyujukian P, et al. Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex. J Neural Eng 2011 ; 8 : 045005. [CrossRef] [PubMed] [Google Scholar]
Fraser GW, Chase SM, Whitford A, Schwartz AB. Control of a brain-computer interface without spike sorting. J Neural Eng 2009 ; 6 : 055004. [CrossRef] [PubMed] [Google Scholar]
Jarosiewicz B, Masse NY, Bacher D, et al. Context dependence of neural tuning in motor cortex of people with paralysis: implications for neural prosthetics. Program n° 142.22. Neuroscience Meeting Planner, Washington, DC : Society for Neuroscience, 2011 (online). [Google Scholar]
Sussillo D, Nuyujukian P, Fan JM, et al. A recurrent neural network for closed-loop intracortical brain-machine interface decoders. J Neural Eng 2012 ; 9 : 026027. [CrossRef] [PubMed] [Google Scholar]

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[1] Hochberg LR, Serruya MD, Friehs GM, et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006 ; 442 : 164–171. [CrossRef] [PubMed] [Google Scholar]

[2] Velliste M, Perel S, Spalding MC, et al. Cortical control of a prosthetic arm for self-feeding. Nature 2008 ; 453 : 1098–1101. [CrossRef] [PubMed] [Google Scholar]

[3] Taylor DM, Helms Tillery SI, Schwartz AB. Direct cortical control of 3D neuroprosthetic devices. Science 2002 ; 296 : 1829–1832. [CrossRef] [PubMed] [Google Scholar]

[4] Santhanam G, Ryu S, Yu B, et al. A high-performance brain-computer interface 3. Nature 2006 ; 442 : 195–198. [CrossRef] [PubMed] [Google Scholar]

[5] Simeral JD, Kim SP, Black MJ, et al. Neural control of cursor trajectory, click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array. J Neural Eng 2011 ; 8 : 025027. [CrossRef] [PubMed] [Google Scholar]

[6] Hochberg LR, Bacher D, Jarosiewicz B, et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 2012 ; 485 : 372–375. [CrossRef] [PubMed] [Google Scholar]

[7] Nurmikko AV, Donoghue JP, Hochberg LR, et al. Listening to brain microcircuits for interfacing with external world-progress in wireless implantable microelectronic neuroengineering devices: experimental systems are described for electrical recording in the brain using multiple microelectrodes and sho. Proc Inst Electr Electron Eng 2010 ; 98 : 375–88. [CrossRef] [Google Scholar]

[8] Chestek CA, Gilja V, Nuyujukian P, et al. Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex. J Neural Eng 2011 ; 8 : 045005. [CrossRef] [PubMed] [Google Scholar]

[9] Fraser GW, Chase SM, Whitford A, Schwartz AB. Control of a brain-computer interface without spike sorting. J Neural Eng 2009 ; 6 : 055004. [CrossRef] [PubMed] [Google Scholar]

[10] Jarosiewicz B, Masse NY, Bacher D, et al. Context dependence of neural tuning in motor cortex of people with paralysis: implications for neural prosthetics. Program n° 142.22. Neuroscience Meeting Planner, Washington, DC : Society for Neuroscience, 2011 (online). [Google Scholar]

[11] Sussillo D, Nuyujukian P, Fan JM, et al. A recurrent neural network for closed-loop intracortical brain-machine interface decoders. J Neural Eng 2012 ; 9 : 026027. [CrossRef] [PubMed] [Google Scholar]