Nicholas Hatsopoulos to Brain-Computer Interfaces
This is a "connection" page, showing publications Nicholas Hatsopoulos has written about Brain-Computer Interfaces.
Connection Strength
6.172
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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: 0.727
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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: 0.511
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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: 0.509
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Comparing offline decoding performance in physiologically defined neuronal classes. J Neural Eng. 2016 Apr; 13(2):026004.
Score: 0.449
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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: 0.416
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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: 0.389
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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: 0.389
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Improving brain-machine interface performance by decoding intended future movements. J Neural Eng. 2013 Apr; 10(2):026011.
Score: 0.366
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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: 0.363
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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: 0.363
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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: 0.338
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Motor somatotopy impacts imagery strategy success in human intracortical brain-computer interfaces. J Neural Eng. 2025 Mar 05; 22(2).
Score: 0.211
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How different immersive environments affect intracortical brain computer interfaces. J Neural Eng. 2025 Feb 10; 22(1).
Score: 0.210
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Tactile edges and motion via patterned microstimulation of the human somatosensory cortex. Science. 2025 01 17; 387(6731):315-322.
Score: 0.209
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A Roadmap for Implanting Electrode Arrays to Evoke Tactile Sensations Through Intracortical Stimulation. Hum Brain Mapp. 2024 Dec 15; 45(18):e70118.
Score: 0.208
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A novel robot-assisted method for implanting intracortical sensorimotor devices for brain-computer interface studies: principles, surgical techniques, and challenges. J Neurosurg. 2025 May 01; 142(5):1280-1288.
Score: 0.207
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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: 0.097
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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: 0.097
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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: 0.085
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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: 0.029