Hamid Karimi-Rouzbahani, PhD

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I have two research goals: to understand how the visual world is represented in the human brain and how subjective goals (as implemented by attention or task-related mechanisms) affect visual processing in the brain.

In my PhD, I investigated visual object representation using behavioral, electrophysiological (EEG) and computational approaches. My research suggested that: (1) visual information about objects is decodable from EEG amplitude rather than variability; (2) feed-forward visual mechanisms of the brain compensate for affine rather than non-affine variations in object recognition; and (3) as opposed to computational vision models, the brain relies on consistent features across variations to recognize objects.

To approach my second goal of exploring the role of attention, I recently took up a postdoctoral fellowship at Macquarie University to work with A/Professor Anina Rich and Dr Alexandra Woolgar on ARC funded projects on the neural correlates of attention. This will allow me to explore the influence of attention on the representation of objects using novel decoding approaches and innovative analyses of fMRI and MEG data. Specifically, I am investigating how attention is implemented in the brain and how information coding changes during attention lapses in experiments inspired by real-world challenges to attention (e.g. the monitoring tasks of train controllers).
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