Led by Professor Andrew Stockman
Deputy Theme Leads: Dr Jennifer Sun and Dr Tessa Dekker
Visual Neuroscience
We use multidisciplinary approaches to try to understand how normal vision works from the visual input in the eye to the perception of the world in our brain. Our approaches include a variety of methodologies:
- Retinal imaging
- Electrophysiology
- Molecular genetics
- Behavioural testing (Visual psychophysics)
- Physiology and anatomy
- Visual neuroscience
- Functional imaging including fMRI
- Cognitive and perceptual testing
- Cognitive neuroscience
- Computational modellingÂ
- Development and ageing
- Visual illusions
Visual Function
This area focuses on the assessment of visual function in both normal and clinical populations to better characterize and understand visual performance and visual loss and to provide normative as well as clinical datasets and standards:
- Retinal imaging using advanced imaging techniques
- Improving tests of visual function so they are better focused and more sensitive for specific diseases
- Developing tests that can provide early diagnoses of various eye problems
- Finding new ways to enable patients to self-report changes in their own vision
- Developing ways to measure the impact of vision loss on everyday activities such as reading, navigation or recognising faces
- Tailoring tests that can monitor and validate the effectiveness of specific interventions for preventing or delaying vision loss
- Supporting clinical trials