Nicholas G. Hatsopoulos to Brain-Computer Interfaces
This is a "connection" page, showing publications Nicholas G. Hatsopoulos has written about Brain-Computer Interfaces.
Connection Strength
5.875
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Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information. Proc Natl Acad Sci U S A. 2023 01 24; 120(4):e2212227120.
Score: 0.834
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Emergent coordination underlying learning to reach to grasp with a brain-machine interface. J Neurophysiol. 2018 04 01; 119(4):1291-1304.
Score: 0.585
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Changes in cortical network connectivity with long-term brain-machine interface exposure after chronic amputation. Nat Commun. 2017 11 27; 8(1):1796.
Score: 0.584
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Comparing offline decoding performance in physiologically defined neuronal classes. J Neural Eng. 2016 Apr; 13(2):026004.
Score: 0.514
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Causal network in a deafferented non-human primate brain. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:59-62.
Score: 0.477
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Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfaces. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:1334-7.
Score: 0.445
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Multi-modal decoding: longitudinal coherency changes between spike trains, local field potentials and electrocorticogram signals. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:5192-5.
Score: 0.445
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Improving brain-machine interface performance by decoding intended future movements. J Neural Eng. 2013 Apr; 10(2):026011.
Score: 0.420
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Operant conditioning of a multiple degree-of-freedom brain-machine interface in a primate model of amputation. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:303-6.
Score: 0.415
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Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:1583-6.
Score: 0.415
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Compensating for delays in brain-machine interfaces by decoding intended future movement. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4087-90.
Score: 0.388
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Consideration of the functional relationship between cortex and motor periphery improves offline decoding performance. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4868-71.
Score: 0.111
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Ultra-long term stability of single units using chronically implanted multielectrode arrays. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4872-5.
Score: 0.111
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Stable online control of an electrocorticographic brain-computer interface using a static decoder. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:1740-4.
Score: 0.097
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Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate. J Neural Eng. 2016 08; 13(4):046019.
Score: 0.033