What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Neuron
Mark M. Churchland mainly investigates Neuroscience, Motor cortex, Electromyography, Premotor cortex and Motor control.
Many of his research projects under Neuroscience are closely connected to Dynamics and Control algorithm with Dynamics and Control algorithm, tying the diverse disciplines of science together.
The concepts of his Neural variability study are interwoven with issues in Cerebral cortex, Motor planning and Cortex.
Mark M. Churchland has researched Motor cortex in several fields, including Nerve net and Electroencephalography.
The various areas that Mark M. Churchland examines in his Premotor cortex study include Biological neural network and Primary motor cortex.
His work investigates the relationship between Motor control and topics such as Cortical neurons that intersect with problems in Cognitive psychology and Developmental psychology.
His most cited work include:
- Neural population dynamics during reaching (827 citations)
- Stimulus onset quenches neural variability: a widespread cortical phenomenon (761 citations)
- Cortical control of arm movements: a dynamical systems perspective. (423 citations)
What are the main themes of his work throughout his whole career to date?
Mark M. Churchland mainly focuses on Neuroscience, Motor cortex, Artificial intelligence, Premotor cortex and Neural activity.
He works mostly in the field of Neuroscience, limiting it down to topics relating to Motion and, in certain cases, Communication, as a part of the same area of interest.
His Motor cortex research incorporates elements of Cognitive psychology, Set and Electromyography, Muscle activity.
His Artificial intelligence research focuses on subjects like Machine learning, which are linked to Visualization.
As part of one scientific family, Mark M. Churchland deals mainly with the area of Premotor cortex, narrowing it down to issues related to the Brain–computer interface, and often Neural Prosthesis.
Mark M. Churchland studied Primary motor cortex and Motor control that intersect with Cortical neurons and Supplementary motor area.
He most often published in these fields:
- Neuroscience (55.13%)
- Motor cortex (37.18%)
- Artificial intelligence (24.36%)
What were the highlights of his more recent work (between 2018-2021)?
- Motor cortex (37.18%)
- Neuroscience (55.13%)
- Control theory (6.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Motor cortex, Neuroscience, Control theory, Primary motor cortex and Motor control.
His studies in Motor cortex integrate themes in fields like Sequence, Robust control, Trajectory and Set.
His Set research incorporates themes from Premotor cortex, Artificial intelligence and Pattern recognition.
His work in the fields of Neuroscience, such as Microstimulation, intersects with other areas such as Population response.
His Motor control research is multidisciplinary, incorporating elements of Feed forward, Control theory and Motor learning.
His Muscle activity research includes elements of Contralateral hemisphere and Neural activity.
Between 2018 and 2021, his most popular works were:
- Motor cortex signals for each arm are mixed across hemispheres and neurons yet partitioned within the population response. (26 citations)
- Neural Trajectories in the Supplementary Motor Area and Motor Cortex Exhibit Distinct Geometries, Compatible with Different Classes of Computation. (15 citations)
- Neural trajectories in the supplementary motor area and primary motor cortex exhibit distinct geometries, compatible with different classes of computation (12 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Neuron
Mark M. Churchland spends much of his time researching Primary motor cortex, Supplementary motor area, Motor cortex, Neuroscience and Motor control.
His Supplementary motor area study is associated with SMA*.
The study incorporates disciplines such as Cued speech, Microstimulation and Macaque in addition to SMA*.
His Motor cortex study typically links adjacent topics like Muscle activity.
Motor control is a subfield of Control theory that Mark M. Churchland explores.
His study of Population response brings together topics like Contralateral hemisphere, Rhesus macaque 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.
