Dr. Hamid Karimi-Rouzbahani

Email:  h.karimi-rouzbahani@uq.edu.au 

Current research

Hamid's interests are at the intersection of Computational, Cognitive and Clinical Neuroscience and combine neural signal processing (e.g., EEG, MEG and fMRI), machine learning (e.g., deep neural networks) and mathematical modelling.
His computational work involves the development of multidimensional connectivity and decoding analysis methods to study information coding and transfer across the brain. His cognitive interests include research into the neural bases of visual perception, attention and the multiple-demand system. His clinical work develops methods to quantify and localise brain areas involved in epilepsy.

Research interests

• Visual perception and attention

• Neural information coding and transfer

• Epilepsy localisation

Published papers

Karimi-Rouzbahani, H., Ramezani, F., Woolgar, A., Rich, A., & Ghodrati, M. (2021). Perceptual difficulty modulates the direction of information flow in familiar face recognition. NeuroImage, 233, 117896.

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(1), 14402.

Karimi-Rouzbahani, H., Woolgar, A., Henson, R., & Nili, H. (2022). Caveats and nuances of model-based and model-free representational connectivity analysis. Frontiers in Neuroscience, 16, 755988.

Karimi-Rouzbahani, H., Woolgar, A., & Rich, A. N. (2021). Neural signatures of vigilance decrements predict behavioural errors before they occur. ELife, 10, e60563.

Karimi-Rouzbahani, H., & McGonigal, A. (2025). Directionality of neural activity in and out of the seizure onset zone in focal epilepsy. Network Neuroscience, 2025.

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, 349, 48-63.

Karimi-Rouzbahani, H. (2018). Three-stage processing of category and variation information by entangled interactive mechanisms of peri-occipital and peri-frontal cortices. Scientific reports, 8(1), 12213.

Karimi-Rouzbahani, H., Shahmohammadi, M., Vahab, E., Setayeshi, S., & Carlson, T. (2021). Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative EEG features. Neural Computation, 33(11), 3027-3072.

Karimi-Rouzbahani, H. (2024). Evidence for multiscale multiplexed representation of visual features in EEG. Neural Computation, 36(3), 412-436.

Pavlov, Y. G., Adamian, N., Appelhoff, S., Arvaneh, M., Benwell, C. S., Beste, C., ... & Mushtaq, F. (2021). # EEGManyLabs: Investigating the replicability of influential EEG experiments. cortex, 144, 213-229.