2014 - Fellow, National Academy of Inventors
2011 - Fellow of the American Academy of Arts and Sciences
2008 - Fellow of the American Association for the Advancement of Science (AAAS)
2006 - Fellow of the Indian National Academy of Engineering (INAE)
1989 - Fellow of American Physical Society (APS) Citation For continued contributions to the theory and phenomenology of hadrons, especially in the studies of weak decays, CP violation, hadron spectroscopy, and chiral symmetry
John P. Donoghue mainly focuses on Neuroscience, Motor cortex, Primary motor cortex, Brain–computer interface and Artificial intelligence. His research investigates the connection between Neuroscience and topics such as Task that intersect with problems in Cortical neurons and Communication. His study in Motor cortex is interdisciplinary in nature, drawing from both Electrophysiology, Motor skill, Anatomy and Primate.
John P. Donoghue conducts interdisciplinary study in the fields of Primary motor cortex and Population through his works. His studies deal with areas such as Physical medicine and rehabilitation, Spinal cord injury, Tetraplegia, BrainGate and Simulation as well as Brain–computer interface. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Neural decoding.
John P. Donoghue focuses on Neuroscience, Motor cortex, Brain–computer interface, Artificial intelligence and Primary motor cortex. His work in Neuroscience addresses subjects such as Anatomy, which are connected to disciplines such as Cerebral cortex. His Motor cortex research is multidisciplinary, incorporating elements of Local field potential, Neural coding and Motor skill.
He combines subjects such as Physical medicine and rehabilitation, Human–computer interaction, Tetraplegia, BrainGate and Signal with his study of Brain–computer interface. His biological study deals with issues like Decoding methods, which deal with fields such as Speech recognition and Kalman filter. The various areas that John P. Donoghue examines in his Primary motor cortex study include Parietal lobe, Trajectory and Motor control.
His primary areas of investigation include Brain–computer interface, Neuroscience, Motor cortex, Physical medicine and rehabilitation and Tetraplegia. His work deals with themes such as Speech recognition, Human–computer interaction, Signal, Local field potential and Biomedical engineering, which intersect with Brain–computer interface. His work on Neuron, Brain mapping, Brain activity and meditation and Biological neural network as part of his general Neuroscience study is frequently connected to Action, thereby bridging the divide between different branches of science.
In the subject of general Motor cortex, his work in Primary motor cortex is often linked to Population, thereby combining diverse domains of study. His research investigates the connection with Physical medicine and rehabilitation and areas like Physical therapy which intersect with concerns in Motor impairment. His Tetraplegia study incorporates themes from Robot, Amyotrophic lateral sclerosis and Simulation.
The scientist’s investigation covers issues in Brain–computer interface, Neuroscience, Tetraplegia, Physical medicine and rehabilitation and Signal. John P. Donoghue has included themes like Motor cortex, Local field potential and Biomedical engineering in his Brain–computer interface study. John P. Donoghue focuses mostly in the field of Motor cortex, narrowing it down to topics relating to Electroencephalography and, in certain cases, BrainGate and Motor control.
The concepts of his Local field potential study are interwoven with issues in Locked-in syndrome, Amyotrophic lateral sclerosis, Primary motor cortex and Artificial intelligence. His work on Brain mapping and Brain circuit as part of general Neuroscience study is frequently linked to Biomarker, Deep brain stimulation and In patient, bridging the gap between disciplines. His research in Tetraplegia intersects with topics in Speech recognition, Closed loop and Physical therapy.
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.
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Leigh R. Hochberg;Leigh R. Hochberg;Mijail D. Serruya;Gerhard M. Friehs;Gerhard M. Friehs;Jon A. Mukand;Jon A. Mukand.
Nature (2006)
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Leigh Robert Hochberg;Daniel Bacher;Beata Jarosiewicz;Beata Jarosiewicz;Nicolas Y. Masse.
Nature (2012)
Instant neural control of a movement signal.
Mijail D. Serruya;Nicholas G. Hatsopoulos;Nicholas G. Hatsopoulos;Liam Paninski;Liam Paninski;Matthew R. Fellows.
Nature (2002)
Plasticity and primary motor cortex.
Jerome N. Sanes;John P. Donoghue.
Annual Review of Neuroscience (2000)
Reshaping the cortical motor map by unmasking latent intracortical connections
Kimberle M. Jacobs;John P. Donoghue.
Science (1991)
The motor cortex of the rat: cytoarchitecture and microstimulation mapping
John P. Donoghue;Steven P. Wise.
The Journal of Comparative Neurology (1982)
A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo;Uri T. Eden;Matthew R. Fellows;John P. Donoghue.
Journal of Neurophysiology (2005)
Learning-induced LTP in neocortex.
Mengia-S. Rioult-Pedotti;Daniel Friedman;John P. Donoghue.
Science (2000)
Connecting Cortex to Machines: Recent Advances in Brain Interfaces
John P. Donoghue.
Nature Neuroscience (2002)
Strengthening of horizontal cortical connections following skill learning
Mengia S. Rioult-Pedotti;Daniel Friedman;Grzegorz Hess;Grzegorz Hess;John P. Donoghue.
Nature Neuroscience (1998)
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