2017 - IEEE Daniel E. Noble Award for Emerging Technologies "For seminal contributions to brain-machine interfaces."
2010 - National Institutes of Health Director's Pioneer Award
2004 - Fellow of the American Association for the Advancement of Science (AAAS)
Miguel A. L. Nicolelis mostly deals with Neuroscience, Somatosensory system, Thalamus, Sensory system and Motor cortex. Neural ensemble, Premovement neuronal activity, Neurophysiology, Cortical neurons and Electrophysiology are the subjects of his Neuroscience studies. His studies in Somatosensory system integrate themes in fields like Stimulus, Stimulation and Neuron.
His research in Thalamus intersects with topics in Receptive field, Motor control, Trigeminal nerve, Anatomy and Cortex. The Sensory system study combines topics in areas such as Somatosensory evoked potential, Human arm, Perception and Human–computer interaction. His study in Motor cortex is interdisciplinary in nature, drawing from both Real-time Control System, Robotic arm, Trajectory and Motor learning.
His primary scientific interests are in Neuroscience, Somatosensory system, Sensory system, Brain–computer interface and Artificial intelligence. His Thalamus, Motor cortex, Premovement neuronal activity, Neurophysiology and Stimulation investigations are all subjects of Neuroscience research. His Thalamus study incorporates themes from Electrophysiology, Nucleus and Neuron.
His research in Somatosensory system tackles topics such as Cortex which are related to areas like Local field potential. His work deals with themes such as Tactile discrimination, Neuroplasticity, Taste and Microstimulation, which intersect with Sensory system. Miguel A. L. Nicolelis combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence.
Miguel A. L. Nicolelis focuses on Neuroscience, Somatosensory system, Sensory system, Brain–computer interface and Artificial intelligence. His work on Neuroscience deals in particular with Neurophysiology, Motor cortex, Stimulation, Spinal cord and Local field potential. His Somatosensory system research incorporates elements of Neocortex, Neuroplasticity and Neuroprosthetics.
His Sensory system study combines topics from a wide range of disciplines, such as Stroke, Tactile discrimination, Neurological injury and Spinal cord stimulation. The various areas that he examines in his Brain–computer interface study include Hippocampal formation, Place cell, Premotor cortex and Simulation. His work on Robotics, Wavelet and Feature as part of general Artificial intelligence research is frequently linked to Train, bridging the gap between disciplines.
His scientific interests lie mostly in Neuroscience, Somatosensory system, Neurophysiology, Neurorehabilitation and Brain–computer interface. His study ties his expertise on Deep brain stimulation together with the subject of Neuroscience. His Somatosensory system research integrates issues from Neocortex and Sensory system.
His research in Sensory system intersects with topics in Neuroplasticity, Receptive field and Microstimulation. His research integrates issues of Motor cortex, Dopaminergic, Reward system and Midbrain in his study of Neurophysiology. Miguel A. L. Nicolelis studied Brain–computer interface and Simulation that intersect with Cortical neurons and Wireless.
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Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
Jose M Carmena;Mikhail A Lebedev;Roy E Crist;Joseph E O'Doherty.
PLOS Biology (2003)
Brain–machine interfaces: past, present and future
Mikhail A. Lebedev;Miguel A. L. Nicolelis.
Trends in Neurosciences (2006)
Real-time prediction of hand trajectory by ensembles of cortical neurons in primates
Johan Wessberg;Christopher R. Stambaugh;Jerald D. Kralik;Pamela D. Beck.
Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex
John K. Chapin;Karen A. Moxon;Ronald S. Markowitz;Miguel A. L. Nicolelis.
Nature Neuroscience (1999)
Actions from thoughts
Miguel A. L. Nicolelis.
Chronic, multisite, multielectrode recordings in macaque monkeys
Miguel A. L. Nicolelis;Dragan Dimitrov;Jose M. Carmena;Roy Crist.
Proceedings of the National Academy of Sciences of the United States of America (2003)
Remote control of neuronal activity in transgenic mice expressing evolved G protein-coupled receptors.
Georgia M. Alexander;Sarah C. Rogan;Atheir I. Abbas;Blaine N. Armbruster.
Brain-machine interfaces to restore motor function and probe neural circuits.
Miguel A L Nicolelis.
Nature Reviews Neuroscience (2003)
Sensorimotor encoding by synchronous neural ensemble activity at multiple levels of the somatosensory system
Miguel A. L. Nicolelis;Luiz A. Baccala;Rick C. S. Lin;John K. Chapin.
Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface
Mikhail A. Lebedev;Jose M. Carmena;Joseph E. O'Doherty;Miriam Zacksenhouse.
The Journal of Neuroscience (2005)
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