2009 - Fellow of Alfred P. Sloan Foundation
2007 - Hellman Fellow
His primary scientific interests are in Neuroscience, Motor cortex, Brain–computer interface, Neuroplasticity and Motor skill. His research on Neuroscience frequently links to adjacent areas such as Anatomy. The Motor cortex study combines topics in areas such as Neuronal tuning, Neuron, Brain mapping and Motor learning.
His research investigates the connection between Neuronal tuning and topics such as Cortical map that intersect with issues in Neural ensemble. His Brain–computer interface research includes themes of Ultrasonic sensor, Interfacing, Bandwidth and Neuroprosthetics. His Neuroplasticity study incorporates themes from Neural activity, Closed loop and Adaptation.
His scientific interests lie mostly in Neuroscience, Brain–computer interface, Artificial intelligence, Motor cortex and Ultrasonic sensor. His is doing research in Macaque, Local field potential, Microstimulation, Neuroplasticity and Primary motor cortex, both of which are found in Neuroscience. As a member of one scientific family, Jose M. Carmena mostly works in the field of Brain–computer interface, focusing on Kalman filter and, on occasion, Decoding methods.
His study looks at the relationship between Artificial intelligence and topics such as Machine learning, which overlap with Adaptation. His studies in Motor cortex integrate themes in fields like Motor skill, Movement, Neuron, Neural activity and Brain mapping. While the research belongs to areas of Ultrasonic sensor, Jose M. Carmena spends his time largely on the problem of Wireless, intersecting his research to questions surrounding Electrical engineering, Electronic engineering and Computer hardware.
Jose M. Carmena mainly focuses on Neuroscience, Ultrasonic sensor, Brain–computer interface, Motor cortex and Neural activity. When carried out as part of a general Neuroscience research project, his work on Optogenetics, Stimulation and Macaque is frequently linked to work in Control and Calcium imaging, therefore connecting diverse disciplines of study. His Ultrasonic sensor research integrates issues from Wireless, Transducer, Biomedical engineering and Integrated circuit.
The concepts of his Brain–computer interface study are interwoven with issues in Motor unit, Neurofeedback and Biceps, Physical medicine and rehabilitation. His biological study spans a wide range of topics, including Contralateral hemisphere, Motor planning and Cortical network. His research in Neural activity focuses on subjects like Pulse, which are connected to Electrophysiology, Closed loop and Neuromodulation.
His primary areas of study are Neuroscience, Stimulation, Ultrasonic sensor, Brain–computer interface and Optogenetics. His Stimulation study combines topics from a wide range of disciplines, such as Biosignal, Distortion, Local field potential and Communication channel. The various areas that Jose M. Carmena examines in his Ultrasonic sensor study include Wireless, Transducer, Biomedical engineering and Integrated circuit.
Jose M. Carmena interconnects Computer hardware, Interfacing and Neural Prosthesis in the investigation of issues within Wireless. His research in Brain–computer interface tackles topics such as Neuromodulation which are related to areas like Chip. His Optogenetics research incorporates elements of Motor cortex and Neural activity.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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)
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)
Emergence of a Stable Cortical Map for Neuroprosthetic Control
Karunesh Ganguly;Jose M. Carmena;Jose M. Carmena.
PLOS Biology (2009)
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)
Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills
Aaron C. Koralek;Xin Jin;John D. Long;Rui M. Costa.
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust
Dongjin Seo;Ryan M. Neely;Konlin Shen;Utkarsh Singhal.
Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies
Ryan T. Canolty;Karunesh Ganguly;Steven W. Kennerley;Charles F. Cadieu.
Proceedings of the National Academy of Sciences of the United States of America (2010)
A Minimally Invasive 64-Channel Wireless μECoG Implant
Rikky Muller;Hanh-Phuc Le;Wen Li;Peter Ledochowitsch.
IEEE Journal of Solid-state Circuits (2015)
Microstimulation Activates a Handful of Muscle Synergies
Simon A. Overduin;Andrea d’Avella;Jose M. Carmena;Jose M. Carmena;Emilio Bizzi.
Reversible large-scale modification of cortical networks during neuroprosthetic control
Karunesh Ganguly;Dragan F Dimitrov;Jonathan D Wallis;Jonathan D Wallis;Jose M Carmena.
Nature Neuroscience (2011)
Profile was last updated on December 6th, 2021.
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