What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Control theory
His primary scientific interests are in Sensory system, Control theory, Vestibular system, Inverted pendulum and Balance.
His study in the fields of Sensorimotor integration under the domain of Sensory system overlaps with other disciplines such as Adaptation.
In the subject of general Control theory, his work in Torque is often linked to Spatial acceleration, thereby combining diverse domains of study.
While the research belongs to areas of Torque, he spends his time largely on the problem of Proprioception, intersecting his research to questions surrounding Amplitude.
His study in Vestibular system is interdisciplinary in nature, drawing from both Stimulus and Communication.
His biological study deals with issues like Sensory cue, which deal with fields such as Audiology, Perception and Vestibule.
His most cited work include:
- Sensorimotor integration in human postural control (1386 citations)
- Dynamic regulation of sensorimotor integration in human postural control. (425 citations)
- Humans use internal models to estimate gravity and linear acceleration (378 citations)
What are the main themes of his work throughout his whole career to date?
Vestibular system, Physical medicine and rehabilitation, Sensory system, Audiology and Balance are his primary areas of study.
His work carried out in the field of Vestibular system brings together such families of science as Stimulus, Gait, Motion perception and Eye movement.
His work on Postural Balance, Biofeedback, Postural control and Center of pressure as part of general Physical medicine and rehabilitation study is frequently linked to Trunk, bridging the gap between disciplines.
His Sensory system research includes elements of Control system, Control theory, Proprioception, Communication and Sensory cue.
Robert J. Peterka has researched Audiology in several fields, including Acoustics and Reflex.
His studies in Balance integrate themes in fields like Somatosensory system and Simulation.
He most often published in these fields:
- Vestibular system (46.43%)
- Physical medicine and rehabilitation (32.14%)
- Sensory system (32.14%)
What were the highlights of his more recent work (between 2016-2021)?
- Balance (28.57%)
- Vestibular system (46.43%)
- Physical medicine and rehabilitation (32.14%)
In recent papers he was focusing on the following fields of study:
Robert J. Peterka mainly investigates Balance, Vestibular system, Physical medicine and rehabilitation, Motion perception and Sensory system.
His Balance research incorporates themes from Rehabilitation, Proprioception, Cognition and Biofeedback.
His Proprioception research integrates issues from Stimulus, Neuroimaging, Motor control and Sensory substitution.
Robert J. Peterka specializes in Vestibular system, namely Semicircular canal.
His Physical medicine and rehabilitation research is multidisciplinary, incorporating perspectives in Lumbar, Sternum and Head.
The concepts of his Sensory system study are interwoven with issues in Control system, Control theory and Motion.
Between 2016 and 2021, his most popular works were:
- Potential Mechanisms of Sensory Augmentation Systems on Human Balance Control. (17 citations)
- Identifying mechanisms of stance control: A single stimulus multiple output model-fit approach (15 citations)
- Implementation of a Central Sensorimotor Integration Test for Characterization of Human Balance Control During Stance (14 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Surgery
His primary areas of study are System identification, Sensory system, Balance, Algorithm and Control models.
His System identification research includes a combination of various areas of study, such as Control theory, Vestibular system, Motion, Control system and Transformation.
His Sensory system research is multidisciplinary, incorporating elements of Proprioception, Cognition and Neuroimaging.
His biological study spans a wide range of topics, including Rehabilitation and Biofeedback.
His work on Parameterized complexity is typically connected to Experimental data as part of general Algorithm study, connecting several disciplines of science.
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