What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Neuron
Andrew B. Schwartz spends much of his time researching Neuroscience, Motor cortex, Body movement, Neuroprosthetics and Electrophysiology.
The Neuroscience study combines topics in areas such as Communication and Anatomy.
His work focuses on many connections between Anatomy and other disciplines, such as Proprioception, that overlap with his field of interest in Brain–computer interface.
He has included themes like Brain mapping, Position and Premovement neuronal activity in his Motor cortex study.
The various areas that he examines in his Neuroprosthetics study include Somatosensory system and Motor control.
His Electrophysiology research incorporates elements of Three-dimensional space and Primary motor cortex.
His most cited work include:
- Neuronal population coding of movement direction. (2386 citations)
- Direct cortical control of 3d neuroprosthetic devices (1566 citations)
- Cortical control of a prosthetic arm for self-feeding (1274 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Artificial intelligence, Motor cortex, Brain–computer interface and Movement.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition.
His work on Primary motor cortex is typically connected to Body movement as part of general Motor cortex study, connecting several disciplines of science.
His research in Brain–computer interface intersects with topics in Artificial neural network, Neural correlates of consciousness, Sensory system and Motor control.
His studies in Electrophysiology integrate themes in fields like Electromyography and Brain mapping.
His studies deal with areas such as Workspace and Robot as well as Robotic arm.
He most often published in these fields:
- Neuroscience (57.02%)
- Artificial intelligence (41.23%)
- Motor cortex (41.23%)
What were the highlights of his more recent work (between 2014-2019)?
- Neuroscience (57.02%)
- Brain–computer interface (37.72%)
- Artificial intelligence (41.23%)
In recent papers he was focusing on the following fields of study:
Andrew B. Schwartz mainly investigates Neuroscience, Brain–computer interface, Artificial intelligence, Movement and Motor cortex.
His study in the field of Stimulation, Neuroprosthetics and Optogenetics is also linked to topics like Adaptation.
His Neuroprosthetics research focuses on subjects like Robotic arm, which are linked to Embedded system.
The various areas that Andrew B. Schwartz examines in his Brain–computer interface study include Somatosensory system, Sensory system, User control, Teleoperation and Set.
Andrew B. Schwartz has researched Artificial intelligence in several fields, including Computer vision and Electroencephalography.
Andrew B. Schwartz is interested in Primary motor cortex, which is a branch of Motor cortex.
Between 2014 and 2019, his most popular works were:
- Intracortical microstimulation of human somatosensory cortex (304 citations)
- Ten-dimensional anthropomorphic arm control in a human brain?machine interface: difficulties, solutions, and limitations (251 citations)
- Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping. (53 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Neuron
Andrew B. Schwartz focuses on Brain–computer interface, Neuroscience, Somatosensory system, Sensory system and Movement.
His Brain–computer interface study combines topics in areas such as Motor cortex, Primary motor cortex, Teleoperation and Set.
His biological study spans a wide range of topics, including Stability, Physical medicine and rehabilitation, Human brain and Neuron.
His Set study combines topics from a wide range of disciplines, such as Inference, Real-time computing, Embedded system and Robotic arm.
A large part of his Neuroscience studies is devoted to Motor control.
His Artificial intelligence research is multidisciplinary, relying on both Human–computer interaction and Neurological rehabilitation.
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