Hamid Karimi-Rouzbahani, PhD

Affiliations: 
2018- Cognitive Science Macquarie University, Macquarie Park, New South Wales, Australia 
Area:
Visual system, Object recognition, Attention
Google:
"Hamid Karimi-Rouzbahani"
Bio:

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.

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Publications

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Karimi-Rouzbahani H, Vahab E, Ebrahimpour R, et al. (2019) Spatiotemporal Analysis of Category and Target-related Information Processing in the Brain during Object Detection. Behavioural Brain Research
Karimi-Rouzbahani H, Bagheri N, Ebrahimpour R. (2017) Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models. Scientific Reports. 7: 14402
Karimi-Rouzbahani H, Bagheri N, Ebrahimpour R. (2017) Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition. Neuroscience
Karimi-Rouzbahani H, Bagheri N, Ebrahimpour R. (2017) Average activity, but not variability, is the dominant factor in the representation of object categories in the brain. Neuroscience
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