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Stephen H. Scott

Queen's University · CA
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Area of research
Cognitive Neuroscience · Biomedical Engineering
Research interest
Link to Scott lab Research Interests My research focuses on how different regions of the brain are involved in motor control and learning. I have developed a robotic device called KINARM that can both sense and perturb planar arm movements. One of my research labs examines neural activity in different brain regions of non-human primates during motor behavior. A second lab explores human motor performance and learning. A third lab located at St. Mary’s of the Lake Hospital is used to quantify sensorimotor impairments in stroke and other neurological disorders. Sources of Research Funds: Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada, GlaxoSmithKline. Selected Publications Neural Basis of Movement: 1. Scott, S.H., Gribble, P. , Graham, K. and Cabel, D.W. (2001) Dissociation between hand motion and population vectors from neural activity in motor cortex. Nature 413:161-165. 2. Gribble, P.L. and Scott, S.H. (2002) Overlap of multiple internal models in primary motor cortex. Nature 417:938-941. 3. Kurtzer, I. Herter, T.M. and Scott, S.H. (2005) Random change in cortical load representation suggests distinct control of posture and movement. Nature Neuroscience 8:498-504. Human Motor Performance: 4. Nozaki, D., Kurtzer, I. and Scott, S.H. (2006) To learn with one limb or two? Limited transfer between unimanual and bimanual skills within the same limb. Nature Neuroscience 9:1364-1366. 5. Singh, K. and Scott, S.H. (2003) A motor learning strategy reflecting neural circuitry for limb control. Nature Neuroscience 6:399-403. Motor Function in Neurological Disorders: 6. Scott, S.H. and Norman, K.E. (2003) Computational approaches to motor control and their potential role for interpreting motor dysfunction. [Invited Review] Current Opinion in Neurology 16:693-698. Theories of Motor Control: 7. Scott, S.H. (2004) Optimal feedback control and the neural basis of motor control. Nature Reviews Neuroscience 5:532-546.
h-index
70
citations
16,677
works
399
NIH funding
primary concept
email

Recent publications

Identification of cognitive phenotypes in temporal lobe epilepsy and genetic generalized epilepsy using robotic assessment
Epilepsy & Behavior 2026cited by 2position: contributordoi
Comparing the cognitive-motor performance of individuals with temporal lobe epilepsy versus healthy controls using robotics
Epilepsy & Behavior 2026cited by 0position: contributordoi
Large Reaching Datasets Quantify the Impact of Age, Sex/Gender, and Experience on Motor Control
2025cited by 4position: contributordoi
Non-Linear Modeling of Motor Development in Typically Developing Children and Youth Aged 5-18 Years Using Robot-Based Behavioral Assessments.
2025cited by 1position: contributordoi
Rapid Online Corrections for Proprioceptive and Visual Perturbations Recruit Similar Circuits in Primary Motor Cortex.
2024cited by 6position: contributordoi
Proprioceptive and Visual Feedback Responses in Macaques Exploit Goal Redundancy.
2023cited by 4position: contributordoi
Capacity Limits Lead to Information Bottlenecks in Ongoing Rapid Motor Behaviors.
2023cited by 2position: contributordoi
Integration of proprioceptive and visual feedback during online control of reaching.
2022cited by 27position: contributordoi
Reverse Visually Guided Reaching in Patients with Parkinson's Disease.
2022cited by 1position: contributordoi
Proprioceptive and visual feedback responses in macaques exploit goal redundancy
2022cited by 0position: contributordoi
Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system
Journal of Biomechanics 2021cited by 151position: contributordoi
Transient deactivation of dorsal premotor cortex or parietal area 5 impairs feedback control of the limb in macaques
Current Biology 2021cited by 68position: contributordoi
Rotational dynamics in motor cortex are consistent with a feedback controller.
2021cited by 58position: contributordoi
Interjoint coupling of position sense reflects sensory contributions of biarticular muscles.
2021cited by 8position: contributordoi
Author response: Rotational dynamics in motor cortex are consistent with a feedback controller
2021cited by 1position: contributordoi
Maintained Representations of the Ipsilateral and Contralateral Limbs during Bimanual Control in Primary Motor Cortex.
2020cited by 28position: contributordoi
Co-contraction uses dual control of agonist-antagonist muscles to improve motor performance
2020cited by 10position: contributordoi
Maintained representations of the ipsilateral and contralateral limbs during bimanual control in primary motor cortex
2020cited by 1position: contributordoi
Independent representations of ipsilateral and contralateral limbs in primary motor cortex.
2019cited by 67position: contributordoi
Movement kinematics and proprioception in post-stroke spasticity: assessment using the Kinarm robotic exoskeleton
Journal of NeuroEngineering and Rehabilitation 2019cited by 60position: lastdoi
Visual Feedback Processing of the Limb Involves Two Distinct Phases.
2019cited by 41position: contributordoi
Author response: Independent representations of ipsilateral and contralateral limbs in primary motor cortex
2019cited by 3position: contributordoi
Localization of Impaired Kinesthetic Processing Post-stroke
Frontiers in Human Neuroscience 2016cited by 67position: middledoi
Robotic Identification of Kinesthetic Deficits After Stroke
Stroke 2013cited by 171position: middledoi
The independence of deficits in position sense and visually guided reaching following stroke
Journal of NeuroEngineering and Rehabilitation 2012cited by 191position: lastdoi
4. Nozaki, D., Kurtzer, I. and Scott, S.H. (2006) To learn with one limb or two? Limited transfer between unimanual and bimanual skills within the same limb.  Nature Neuroscience  9:1364-1366.
2006cited by 0position: selected
3. Kurtzer, I. Herter, T.M. and Scott, S.H. (2005) Random change in cortical load representation suggests distinct control of posture and movement.  Nature Neuroscience  8:498-504.
2005cited by 0position: selected
7. Scott, S.H. (2004) Optimal feedback control and the neural basis of motor control.  Nature Reviews Neuroscience  5:532-546.
2004cited by 0position: selected
5. Singh, K. and Scott, S.H. (2003) A motor learning strategy reflecting neural circuitry for limb control.  Nature Neuroscience  6:399-403.
2003cited by 0position: selected
6. Scott, S.H. and Norman, K.E. (2003) Computational approaches to motor control and their potential role for interpreting motor dysfunction. [Invited Review]  Current Opinion in Neurology  16:693-698.
2003cited by 0position: selected

Grants

No grants ingested yet.

Frequent collaborators

· 21 papers (2019–2026)Kevin P. Cross · Queen's University10 papers (2019–2023)Sean P. Dukelow · Allen Institute for Brain Science4 papers (2012–2019)Tomohiko Takei · Tamagawa University4 papers (2019–2021)Troy M. Herter · University of South Carolina3 papers (2012–2016)Philip Sabes · California Institute of Integral Studies2 papers (2021–2021)Gavin P. Winston · Kingston Health Sciences Centre2 papers (2026–2026)Mohsen Omrani · Queen's University2 papers (2021–2021)Frederic Crevecoeur · Queen's University2 papers (2021–2022)Lysa Boissé Lomax · Queen's University2 papers (2026–2026)Theodore S. Aliyianis · 2 papers (2026–2026)Hari Teja Kalidindi · Scuola Superiore Sant'Anna2 papers (2021–2021)Spencer Finn · 2 papers (2026–2026)Jennifer A. Semrau · University of Delaware2 papers (2013–2016)George Mochizuki · York University1 papers (2019–2019)Amy Yu · Northwestern Medicine1 papers (2016–2016)Catherine R. Lowrey · Queen's University1 papers (2019–2019)Sonja E. Findlater · University of British Columbia1 papers (2016–2016)Andrew Centen · Sunnybrook Health Science Centre1 papers (2019–2019)Jeffrey M. Kenzie · Palo Alto University1 papers (2016–2016)
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