Grant: Canada Research Chairs
Queen's University
$70,000.00
Non-Human Primate Models of Health and Disease
EF 2024-25
Résumé
Humans can learn a nearly endless repertoire of movements. We learn motor skills such as walking, running, grabbing, kicking, throwing, and dancing. We may learn fine motor skills, such as those required to play an instrument or a sport that requires dexterous movements. Some of us may even need to learn to recover movement following an illness, accident, or disease.
Dr. Emily Oby studies what happens in the brain during motor control and motor learning. Her research program lies at the intersection of neurophysiology, neural engineering, and machine learning. By combining these areas of expertise, Dr. Oby probes the details of how the brain controls and learns movement patterns. Furthermore, she develops brain-machine interfaces with the potential to restore movement to people with spinal cord injury or provide rehabilitation after stroke.
During the term of her proposed Tier 2 Canada Research Chair in Non-Human Primate Models of Health and Disease, Dr. Oby’s overarching objective is to use brain-machine interfaces and a neural population-level view of neural activity to investigate the neural mechanisms of motor learning. Brain-machine interfaces offer a simplified experimental paradigm for studying such learning. Using a brain-machine interface, an experimenter can record from all the neurons that directly drive behaviour, while defining how the neural activity relates to the behaviour. In learning experiments then, any changes in behaviour can be directly attributed to changes in neural activity. Uniquely, brain-machine interfaces allow the experimenter to design mappings that request neural activity with particular characteristics and then see whether the user can generate these characteristics. This is incredibly powerful because in such studies we can customize the mapping between neural activity and behaviour to the particular question we are asking.
Understanding the neural mechanisms of learning might enable us to accelerate learning or rehabilitate neurological impairments. Dr. Oby aims to identify ways to use a brain-machine interface approach to facilitate both motor learning and stroke rehabilitation. Ultimately, the proposed research program has the potential to develop a brain-machine interface-based rehabilitative protocol to improve post-stroke behaviour or accelerate the reacquisition of motor behaviour.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2024-00018
Name nom
Oby, Emily
Department département
Biomedical and molecular sciences - Queen's University
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
70000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1061105
Field of research list names en
Behavioural neuroscience of learning and memory
Field of research list names fr
Neurosciences comportementales de l'apprentissage et de la mémoire
Socioeconomic objective list codes
RDS10701
Socioeconomic objective list names en
Human health procedures and pharmaceutical treatments
Socioeconomic objective list names fr
Interventions et traitements pharmaceutiques ayant trait à la santé humaine
Application title
Non-Human Primate Models of Health and Disease
Keywords
systems neuroscience; brain-computer interfaces; learning; dynamics; motor control
Application summary
Humans can learn a nearly endless repertoire of movements. We learn motor skills such as walking, running, grabbing, kicking, throwing, and dancing. We may learn fine motor skills, such as those required to play an instrument or a sport that requires dexterous movements. Some of us may even need to learn to recover movement following an illness, accident, or disease.
Dr. Emily Oby studies what happens in the brain during motor control and motor learning. Her research program lies at the intersection of neurophysiology, neural engineering, and machine learning. By combining these areas of expertise, Dr. Oby probes the details of how the brain controls and learns movement patterns. Furthermore, she develops brain-machine interfaces with the potential to restore movement to people with spinal cord injury or provide rehabilitation after stroke.
During the term of her proposed Tier 2 Canada Research Chair in Non-Human Primate Models of Health and Disease, Dr. Oby’s overarching objective is to use brain-machine interfaces and a neural population-level view of neural activity to investigate the neural mechanisms of motor learning. Brain-machine interfaces offer a simplified experimental paradigm for studying such learning. Using a brain-machine interface, an experimenter can record from all the neurons that directly drive behaviour, while defining how the neural activity relates to the behaviour. In learning experiments then, any changes in behaviour can be directly attributed to changes in neural activity. Uniquely, brain-machine interfaces allow the experimenter to design mappings that request neural activity with particular characteristics and then see whether the user can generate these characteristics. This is incredibly powerful because in such studies we can customize the mapping between neural activity and behaviour to the particular question we are asking.
Understanding the neural mechanisms of learning might enable us to accelerate learning or rehabilitate neurological impairments. Dr. Oby aims to identify ways to use a brain-machine interface approach to facilitate both motor learning and stroke rehabilitation. Ultimately, the proposed research program has the potential to develop a brain-machine interface-based rehabilitative protocol to improve post-stroke behaviour or accelerate the reacquisition of motor behaviour.