Cognition & Action Lab
Randy Flanagan ~ Queen's University
Movement is the only way we have of interacting with the world, whether manipulating objects, navigating through our environment, playing musical instruments, or communicating with others. Thus, understanding how actions are planned and controlled, how actions are perceived by observers, and how skilled actions are learned, is an important enterprise.
The goal of research in the Cognition & Action Lab is to understand the cognitive, computational and neural foundations of each of these abilities. In addition to studies with healthy adults, we also carry out research on action impairments in neurological conditions.
Studies carried out in the lab involve the measurement of eye and hand movements as well as forces applied to manipulated objects. To study action control and learning, we use virtual environments in which we can manipulate visual feedback and, using robots, the forces experienced by participants as they move. In addition to psychophysical studies and modelling, we use functional magnetic imaging and other tools to investigate the neural bases of action. The lab is based in the Department of Psychology, Queen's University, and is part of the Centre for Neuroscience Studies.
Research in the laboratory is supported by the Canadian Institutes of Health Research, the Canadian Foundation for Innovation, the Ontario Innovation Trust, and the Natural Sciences and Engineering Research Council of Canada.
Recent Lab News
Feb, 2024 Congratulations to Rohaan Syan on being awarded a 2024 Undergraduate Student Research Fellowship from Queen's University.
Oct, 2023 New Paper Accepted Zhu T, Gallivan JP, Wolpert DM, Flanagan JR (accepted) Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise PLoS Computational Biology
Oct, 2023 New Paper Accepted McGarity-Shipley MR, Markovik Jantz S, Johnasson RS, Wolpert DM, Flanagan JR (accepted) Fast feedback responses to categorical errors that do not indicate error magnitude are optimized based on short and long term memory. Journal of Neuroscience
Sep, 2023 Congratulations to Dr. Corson Areshenkoff for successfully defending his doctoral dissertation
May, 2023 New Paper Accepted Moskowitz JB, Fooken J, Castelhano MS, Gallivan JP, Flanagan JR (accepted) Visual search for reach targets in actionable space is influenced by movement costs imposed by obstacles. Journal of Vision
Apr, 2023 New Paper Accepted Cesanek E, Flanagan JR, Wolpert DM (accepted) Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties. Scientific Reports
Apr, 2023 Congratulations to Bethany Piekkola on being awarded a 2023 Undergraduate Student Research Fellowship from Queen's University. These awards are very competitive so well done Bethany
Nov, 2022 New Paper Accepted Moskowitz JB, Berger SA, Fooken J, Castelhano MS, Gallivan JP, Flanagan JR (accepted) The influence of movement-related costs when searching to act and acting to search. Journal of Neurophysiology
Nov, 2022 New Paper Accepted Areshenkoff CN, Standage DP, Nashed JY, Markello RD, Flanagan JR, Smallwood J, Gallivan JP (accepted) Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation. PNAS
Oct, 2022 New Paper Accepted Zhang Z, Cesanek E,Ingram JN, Flanagan JR†, Wolpert DM† (accepted) Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects. Journal of Neurophysiology