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Adjunct Faculty

  • Michael Barnett-Cowan
    Kinesiology, University of Waterloo
    Multisensory integration, perception and action, self-motion perception, psychophysics, vestibular system
  • Suzanna Becker
    Psychology, McMaster University
    computational and empirical studies of learning, memory and plasticity; the neural basis of visuo-spatial cognition; EEG measures of intrinsic brain networks.
  • Pat Bennett
    Psychology, McMaster University
    Visual Perception, spatial vision, psychophysics, perceptual learning and development, aging and vision, ideal observer theory
  • Dirk Bernhardt-Walther
    Department of Psychology, University of Toronto
    natural scene perception, visual attention, fMRI, multi-voxel pattern analysis, computational modeling
  • Jennifer Campos
    Toronto Rehabilitation Institute
    Self-motion perception, multisensory integration, perception-action coupling, visuomotor control, Virtual Reality, the interactive nature of perception and action, locomotor rehabilitation
  • Jonathan Cant
    Psychology, University of Toronto Scarborough
    I study visual perception and cognition using both behavioural and neuroimaging (fMRI) techniques. I am specifically interested in object perception (both single objects and ensembles of multiple objects), shape, texture and material-property perception, scene perception, body perception, and visual attention.
  • Sven Dickinson
    Computer Science, University of Toronto
    computational vision, object modeling, object recognition (both bottom-up and top-down), attention, shape recovery, and tracking, and how they may be unified under a single representational framework
  • Cheyne Douglas
    Medical Imaging, University of Toronto
  • Elizabeth Irving
    Optometry, Waterloo
  • Alan Jepson
    Computer Science, University of Toronto
    My current research interests span the three levels of machine vision, namely low, intermediate and high level vision
  • Jocelyn Keillor
    National Research Council, Canada
    Use of physiological measures to investigate the effects of aircraft environmental factors such as whole body vibration, altitude, and microgravity, on aircrew alertness, and performance. Visual search in the context of airborne sensor systems
  • Behrang Keshavarz
    Toronto Rehabilitation institute
    Self-motion perception, vection, motion sickness and simulator sickness, driving simulation, multisensory integration, human factors in virtual environments
  • Richard Mann
    Computer Science, University Waterloo
    Computational vision (high-level vision, motion understanding, event recognition); Perception; Artificial intelligence
  • Matthias Neimeier
    Psychology, University of Toronto
    Transsaccadic integration, what kind of information is stored across saccadic eye movements? How is it represented in the brain? How can it be employed for perceptual tasks? Computational simulations, psychophysical methods and eye movement recordings and fMRI
  • Kathleen O'Craven
    Psychology, University of Toronto
    fMRI, visual attention, visual cognition, imagery, inhibitory processes, top-down effects, extrastriate cortex, perception of faces and places
  • Jay Pratt
    Psychology, University of Toront
    Visual Attention, Eye Movement, Motor Control, Age Related Changes in Attentional and Motor Systems
  • Brian Rogers
    Experimental Psychology, University of Oxford
    Experimental studies of human visual perception - particulary 3-D vision: Stereopsis, structure from motion; perception of motion, visual control of locomotion, perception theory, artificial intelligence and computional studies
  • Allison Sekuler
    Psychology, McMaster University
    cognitive neuroscience, visual perception, perceptual organization, face and object recognition, motion perception, aging and vision, neuroimaging
  • David Shore
    Psychology, McMaster University
  • Andrew Smith
    Psychology, Royal Holloway University of London
  • Ryan Stevenson
    Psychology, Brain and Mind Institute, Western University
    Multisensory integration, Developmental cognitive neuroscience, Autism, Developmental disabilities, Development of sensory perception, Interactions between sensory perception and cognition, Speech perception, Social cognition, Perceptual learning
  • Doug Tweed
    Psychology, University of Toronto
    sensory-motor transformations, computational models, visual and gaze-control systems. Models of binocular coordination and depth vision. My work has emphasized the importance to brain theory of nonlinear algebra and dynamics, optimization, natural selection and learning
  • Carol Westall
    Hospital for Sick Children
    clinical paediatric visual electrophysiology
  • Dave Williams
    Southlake Regional Health Centre
  • Agnes Wong
    Ophthalmology and Vision Sciences, University of Toronto
  • Richard Zemel
    Computer Science, University of Toronto
    machine learning and perception using techniques from statistics and information theory, including unsupervised learning and information combination in uncertain environments, and mathematical and computational models of neural processing and representations