What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
The scientist’s investigation covers issues in Artificial intelligence, Neuroscience, Virtual reality, Physical medicine and rehabilitation and Rehabilitation.
His study in the fields of Artificial neural network, Adaptive control and Mobile robot under the domain of Artificial intelligence overlaps with other disciplines such as Classical conditioning.
His Neuroscience study typically links adjacent topics like Task.
Virtual reality is a subfield of Human–computer interaction that Paul F. M. J. Verschure investigates.
His Human–computer interaction research is multidisciplinary, relying on both Psychometrics and Stroke patient.
His work in Physical medicine and rehabilitation covers topics such as Occupational therapy which are related to areas like Functional recovery, Phase and Randomized controlled trial.
His most cited work include:
- Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation (243 citations)
- Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation (243 citations)
- The state of the art in biomimetics. (203 citations)
What are the main themes of his work throughout his whole career to date?
Paul F. M. J. Verschure mainly investigates Artificial intelligence, Neuroscience, Robot, Human–computer interaction and Cognitive psychology.
His Artificial intelligence study combines topics in areas such as Machine learning and Computer vision.
His is doing research in Cerebellum, Sensory system, Hippocampal formation, Hippocampus and Stimulus, both of which are found in Neuroscience.
His work on Mixed reality and Virtual reality as part of general Human–computer interaction research is frequently linked to Space, bridging the gap between disciplines.
His Virtual reality course of study focuses on Neurorehabilitation and Physical medicine and rehabilitation.
His work deals with themes such as Task and Perception, which intersect with Cognitive psychology.
He most often published in these fields:
- Artificial intelligence (39.19%)
- Neuroscience (23.94%)
- Robot (17.80%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (23.94%)
- Task (13.14%)
- Cognitive psychology (14.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Neuroscience, Task, Cognitive psychology, Artificial intelligence and Physical medicine and rehabilitation.
His Hippocampal formation, Cholinergic, Neocortex and Interneuron study in the realm of Neuroscience interacts with subjects such as ENCODE.
His biological study spans a wide range of topics, including Cerebellum, Adaptation and Action.
His work in the fields of Sensory system overlaps with other areas such as Air traffic control.
His studies deal with areas such as Machine learning and Theory of mind as well as Artificial intelligence.
He focuses mostly in the field of Physical medicine and rehabilitation, narrowing it down to matters related to Rehabilitation and, in some cases, Virtual reality and Cognition.
Between 2017 and 2021, his most popular works were:
- Effect of Specific Over Nonspecific VR-Based Rehabilitation on Poststroke Motor Recovery: A Systematic Meta-analysis: (39 citations)
- A critical time window for recovery extends beyond one-year post-stroke. (26 citations)
- DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
Paul F. M. J. Verschure mostly deals with Cognitive psychology, Physical medicine and rehabilitation, Task, Cognition and Artificial intelligence.
His Cognitive psychology study integrates concerns from other disciplines, such as Trial number, Neuroticism and Embodied cognition.
The study incorporates disciplines such as Implicit learning, Central nervous system and Adaptation in addition to Physical medicine and rehabilitation.
His Task research includes elements of Cerebellum, Addiction and Trajectory.
His research in Cognition intersects with topics in Personality, Affect, Task and Mood.
His Sensory system study combines topics from a wide range of disciplines, such as Illusion and Encoding.
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.
