Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates

Keywords

GRASP, Biology, Sensory system, Neuroscience, Motor learning

References

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• Chronic, multisite, multielectrode recordings in macaque monkeys吕嘉兴 — 2003
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• Brain-machine interface: Instant neural control of a movement signalMijail D. Serruya, Nicholas G. Hatsopoulos, Liam Paninski — 2002
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Cited by

• Reproducing kernel Hilbert spaces for point processes, with applications to neural activity analysisAntónio R. C. Paiva — 2008
• From intention to action: motor cortex and the control of reaching movements.John Kalaska — 2009
• Interfaces cérebro-computador de sistemas interativos: estado da arte e desafios de IHCAlessandro Luiz Stamatto Ferreira, Leonardo Cunha de Miranda, Erica Esteves Cunha de Miranda — 2012
• Implications of Neuronal Diversity on Population CodingSz. Nagy, Sz. Bérczi, Sándor Józsa — 2006
• Neural Correlates of Skill Acquisition with a Cortical Brain–Machine InterfaceM. V. Kremkov — 2010
• Neural prosthesis: concept and progress.Laurent Gaissad — 2012
• Brain-Machine Interface Enables Bimanual Arm Movements in MonkeysAnita L. Manogaran — 2013
• Creating new functional circuits for action via brain-machine interfacesC.G. Poncelet — 2013
• A cognitive neuroprosthetic that uses cortical stimulation for somatosensory feedbackEko Konsult — 2014
• Neuron Selection Based on Deflection Coefficient Maximization for the Neural Decoding of Dexterous Finger MovementsDave Taylor — 2014
• A Supplementary System for a Brain-Machine Interface Based on Jaw Artifacts for the Bidimensional Control of a Robotic ArmShailesh Mungikar — 2014
• Brain-machine interfaces in neurorehabilitation of stroke.真司 小塩 — 2015
• Volitional and Real-Time Control Cursor Based on Eye Movement Decoding Using a Linear Decoding ModelCoenraad Christoffel Reynolds — 2016
• Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and NeurorehabilitationJuan Jiménez García — 2016
• Neurobionics and the brain–computer interface: current applications and future horizonsPablo Sicilia Mateo — 2017
• Detecting the no-control state in self-paced Brain-Computer InterfacesMircea Stoica — 2012
• ECoG correlates of visuomotor transformation, neural plasticity, and application to a force-based brain computer interfaceJordan J. Williams — 2013
• A dynamical systems view of motor preparation: Implications for neural prosthetic system designKrishna V. Shenoy, Matthew T. Kaufman, Maneesh Sahani — 2011
• Modeling Time-Varying Networks with Applications to Neural Flow and Genetic RegulationAlexander J. Hartemink, Joshua W. Robinson — 2010
• Brain-Machine Interface for Reaching: Accounting for Target Size, Multiple Motor Plans, and Bimanual CoordinationPeter J. Ifft — 2014

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