2022 - Research.com Neuroscience in Russia Leader Award
Neuroscience, Brain–computer interface, Neuroprosthetics, Motor cortex and Somatosensory system are his primary areas of study. His Cortical neurons, Neurophysiology, Sensory system and Motor control study, which is part of a larger body of work in Neuroscience, is frequently linked to Extramural, bridging the gap between disciplines. The study incorporates disciplines such as Neuroplasticity, Motor commands and Neurological injury in addition to Cortical neurons.
His Sensory system study combines topics in areas such as Control engineering, Human arm, Microstimulation and Robot manipulator. His Brain–computer interface research is multidisciplinary, relying on both Leg muscle, 3d coordinates and Sensation. His Neuroprosthetics research includes elements of Movement, Neuron, Information processing, Neural ensemble and Physiology.
Mikhail A. Lebedev mainly focuses on Neuroscience, Brain–computer interface, Artificial intelligence, Somatosensory system and Motor cortex. His research on Neuroscience frequently connects to adjacent areas such as Premotor cortex. His Brain–computer interface research incorporates elements of Brain activity and meditation, Human–computer interaction and Neuroprosthetics.
His work in Artificial intelligence addresses subjects such as Decoding methods, which are connected to disciplines such as Neuronal tuning. His biological study spans a wide range of topics, including Body schema, Primary motor cortex, Cortex and Brain mapping. His work investigates the relationship between Sensory system and topics such as Spinal cord stimulation that intersect with problems in Sensory function and Just noticeable.
Mikhail A. Lebedev spends much of his time researching Neuroscience, Brain–computer interface, Artificial intelligence, Speech recognition and Electroencephalography. His work on Motor cortex, Sensory system and Neocortex as part of general Neuroscience research is often related to Rotational dynamics, thus linking different fields of science. He focuses mostly in the field of Motor cortex, narrowing it down to matters related to Neurophysiology and, in some cases, Cortical Synchronization, Dorsum and Primate.
His Brain–computer interface study incorporates themes from Rehabilitation, Physical medicine and rehabilitation, Stimulus, Human–computer interaction and Electrocorticography. His Artificial intelligence study combines topics from a wide range of disciplines, such as Source reconstruction, Computer vision and Pattern recognition. The various areas that Mikhail A. Lebedev examines in his Speech recognition study include Peripheral vision, Visual field, Visual processing and Eye tracking.
His scientific interests lie mostly in Neuroscience, Brain–computer interface, Interfacing, Human–computer interaction and Premotor cortex. His study involves Hippocampus and Hippocampal formation, a branch of Neuroscience. Mikhail A. Lebedev combines subjects such as Electrocorticography and Somatosensory system with his study of Brain–computer interface.
In his study, Artificial intelligence is inextricably linked to Computer vision, which falls within the broad field of Somatosensory system. His work carried out in the field of Human–computer interaction brings together such families of science as Neurofeedback, Brain activity and meditation and Electroencephalography. His Premotor cortex study integrates concerns from other disciplines, such as Intracortical microstimulation, Hebbian theory and Neural Prosthesis.
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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)
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)
Active tactile exploration using a brain–machine–brain interface
Joseph E. O’Doherty;Mikhail A. Lebedev;Peter J. Ifft;Katie Z. Zhuang.
Spontaneous cortical activity in awake monkeys composed of neuronal avalanches.
Thomas Petermann;Tara C. Thiagarajan;Mikhail A. Lebedev;Miguel A. L. Nicolelis.
Proceedings of the National Academy of Sciences of the United States of America (2009)
Principles of neural ensemble physiology underlying the operation of brain–machine interfaces
Miguel A. L. Nicolelis;Miguel A. L. Nicolelis;Mikhail A. Lebedev.
Nature Reviews Neuroscience (2009)
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Mikhail A. Lebedev;Miguel A. L. Nicolelis.
Physiological Reviews (2017)
Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys
David A Schwarz;Mikhail A Lebedev;Timothy L Hanson;Dragan F Dimitrov.
Nature Methods (2014)
Representation of attended versus remembered locations in prefrontal cortex.
Mikhail A Lebedev;Adam Messinger;Jerald D Kralik;Steven P Wise.
PLOS Biology (2004)
A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information
Miguel Pais-Vieira;Mikhail Lebedev;Carolina Kunicki;Jing Wang;Jing Wang.
Scientific Reports (2013)
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