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DakinLab

The lab works on spatial vision using a combination of visual psychophysics, computational modelling and functional brain imaging in various clinical and unaffected populations.

Our research interests centre on: vision in people with neuropsychological disorders (such as schizophrenia) and eye disease  (e.g. glaucoma), assessment of vision in children, and in several areas of basic visual neuroscience e.g. face perception and crowding (the breakdown in our recognition of objects presented  in clutter).

Methodology

  • Psychophysics,
  • computational modelling
  • fMRI

Scientific Cooperations

  • Cooperation 1
    Peter Bex, Schepens Eye Research Institute, Harvard Medical School, Boston, US
  • Cooperation 2
    Thomas Carlson, University of Maryland, Washington DC, US
  • Cooperation 3
    Geraint Rees, UCL Functional Imaging Lab, London, UK
  • Cooperation 4
    Michael Morgan, City University, London , UK
  • Cooperation 5
    Sukhi Shergill, Institute of Psychiatry, KCL, London, UK

Current Research Projects

  • Project 1
    Deficits in processing visual context in schizophrenia
  • Project 2
    The neural correlates of crowding
  • Project 3
    A common metric for estimating number and density
  • Project 4
    Linking binocularity and crowding in children with amblyopia
  • Project 5
    Facial similarity

Group Leader

Steven Dakin
[more information]

Contact

University College London

UCL Institute of Ophthalmology
11-43 Bath Street
EC1V 9EL London
United Kingdom

Phone: +44 (0)207 608 6988

Email:
s.dakin[at]ucl.ac.uk

Website:
http://www.dakinlab.org

Research Groups

People

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amblyopia
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binocular vision/stereopsis
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computational modeling
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development
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eye movements
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face perception
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glaucoma
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grouping and segmentation
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image processing
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low vision
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macula/fovea
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motion-2D
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pattern vision
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perception
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perimetry
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reading
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shape and contour
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shape, form, contour, object perception
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strabismus
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strabismus: diagnosis and detection
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temporal vision
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texture
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visual acuity
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visual cortex
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psychophysics
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schizophrenia
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numerosity
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