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angle-left Curtis Baker, BSc, PhD

Senior Scientist, RI-MUHC , Montreal General Hospital

Brain Repair and Integrative Neuroscience (BRaIN) Program

Centre for Translational Biology

Professor, Department of Ophthalmology, Faculty of Medicine, McGill University



vision • neurophysiology • perception • psychophysics

Research Focus

My research focuses on understanding human visual perception, particularly low-level neural mechanisms that are functionally relevant in everyday life. Natural scenes in our visual world are filled with objects delineated from their backgrounds not only by simple changes in luminance or colour, but also by differences in other attributes such as contrast, texture, or motion. An important goal is to understand how early visual processing detects and utilizes these rich cues to provide a robust perception of "figure-ground" and local depth relationships in the real world. Projects within the lab employ a variety of approaches, including human psychophysics, single unit electrophysiology, optical imaging, and computational modeling.

Selected Publications

Click on Pubmed to see my current publications list

  • Li G, Yao Z, Wang Z, Yuan N, Talebi V, Tan J, Wang Y, Zhou Y, Baker CL Jr (2014) Form-cue invariant second-order neuronal responses to contrast modulation in primate area V2. Journal of Neuroscience 34(36):12081-12092. PMID: 25186753.

  • Zavitz E, Baker CL Jr (2014) Higher order image structure enables boundary segmentation in the absence of luminance or contrast cues. Journal of Vision 14(4):14,1-15. PMID: 24762950.

  • Yoonessi A, Baker CL Jr (2013) Depth perception from dynamic occlusion in moton parallax: Roles of expansion-compression and accretion-deletion. Journal of Vision 13(12):10,1-16. PMID: 24130259.

  • Gharat A, Baker CL Jr (2012) Motion-defined contour processing in early visual cortex. Journal of Neurophysiology 108:1228-1243. PMID: 22673328.

  • Talebi V, Baker CL Jr (2012) Natural vs. synthetic stimuli for estimating receptive field models: A comparison of predictive robustness. Journal of Neuroscience 32(5):1560-1576. PMID: 22302799.