Dr Hamid Karimi-Rouzbahani
Research Fellow, ARC
Queensland Brain Institute
Researcher biography
Having done a Newton Fellowship at MRC Cognition and Brain Sciences Unit, The University of Cambridge, Dr Hamid Karimi-Rouzbahani is now an ARC DECRA fellow at The University of Queensland.
His 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 involve 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.
Publications
Journal Articles
Rich, Anina, Lowe, Benjamin, Karimi-Rouzbahani, Hamid, Hensley, Katie, Moerel, Denise and Woolgar, Alexandra (2024). Sustaining attention under monitoring conditions: What changes in the brain when attention lapses?. Journal of Vision, 24 (10), 739. doi: 10.1167/jov.24.10.739
Karimi-Rouzbahani, Hamid and McGonigal, Aileen (2024). Generalisability of epileptiform patterns across time and patients. Scientific Reports, 14 (1) 6293, 1-14. doi: 10.1038/s41598-024-56990-7
Karimi-Rouzbahani, Hamid (2024). Evidence for Multiscale Multiplexed Representation of Visual Features in EEG. Neural Computation, 36 (3), 412-436. doi: 10.1162/neco_a_01649
Karimi-Rouzbahani, Hamid, Woolgar, Alexandra and Rich, Anina N (2023). Correction: Neural signatures of vigilance decrements predict behavioural errors before they occur. eLife, 12. doi: 10.7554/elife.91529
Mokari-Mahallati, Masoumeh, Ebrahimpour, Reza, Bagheri, Nasour and Karimi-Rouzbahani, Hamid (2023). Deeper neural network models better reflect how humans cope with contrast variation in object recognition. Neuroscience Research, 192, 48-55. doi: 10.1016/j.neures.2023.01.007
Delios, Andrew, Clemente, Elena Giulia, Wu, Tao, Tan, Hongbin, Wang, Yong, Gordon, Michael, Viganola, Domenico, Chen, Zhaowei, Dreber, Anna, Johannesson, Magnus, Pfeiffer, Thomas, Uhlmann, Eric Luis, Al-Aziz, Ahmad M. Abd, Abraham, Ajay T., Trojan, Jais, Adamkovic, Matus, Agadullina, Elena, Ahn, Jungsoo, Akinci, Cinla, Akkas, Handan, Albrecht, David, Alzahawi, Shilaan, Amaral-Baptista, Marcio, Anand, Rahul, Ang, Kevin Francis U., Anseel, Frederik, Aruta, John Jamir Benzon R., Ashraf, Mujeeba, Baker, Bradley J. ... Zultan, Ro'i (2022). Examining the generalizability of research findings from archival data. Proceedings of the National Academy of Sciences of the United States of America, 119 (30) e2120377119, 1-9. doi: 10.1073/pnas.2120377119
Karimi-Rouzbahani, Hamid, Woolgar, Alexandra, Henson, Richard and Nili, Hamed (2022). Caveats and nuances of model-based and model-free representational connectivity analysis. Frontiers in Neuroscience, 16 755988. doi: 10.3389/fnins.2022.755988
Karimi-Rouzbahani, Hamid and Woolgar, Alexandra (2022). When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns. Frontiers in Neuroscience, 16 825746. doi: 10.3389/fnins.2022.825746
Pavlov, Yuri G., Adamian, Nika, Appelhoff, Stefan, Arvaneh, Mahnaz, Benwell, Christopher S. Y., Beste, Christian, Bland, Amy R., Bradford, Daniel E., Bublatzky, Florian, Busch, Niko A., Clayson, Peter E., Cruse, Damian, Czeszumski, Artur, Dreber, Anna, Dumas, Guillaume, Ehinger, Benedikt, Ganis, Giorgio, He, Xun, Hinojosa, José A., Huber-Huber, Christoph, Inzlicht, Michael, Jack, Bradley N., Johannesson, Magnus, Jones, Rhiannon, Kalenkovich, Evgenii, Kaltwasser, Laura, Karimi-Rouzbahani, Hamid, Keil, Andreas, König, Peter ... Mushtaq, Faisal (2021). #EEGManyLabs: Investigating the replicability of influential EEG experiments. Cortex, 144, 213-229. doi: 10.1016/j.cortex.2021.03.013
Karimi-Rouzbahani, Hamid, Shahmohammadi, Mozhgan, Vahab, Ehsan, Setayeshi, Saeed and Carlson, Thomas (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. doi: 10.1162/neco_a_01436
Merrikhi, Yaser, Shams-Ahmar, Mohammad, Karimi-Rouzbahani, Hamid, Clark, Kelsey, Ebrahimpour, Reza and Noudoost, Behrad (2021). Dissociable contribution of extrastriate responses to representational enhancement of gaze targets. Journal of Cognitive Neuroscience, 33 (10), 2167-2180. doi: 10.1162/jocn_a_01750
Karimi-Rouzbahani, Hamid, Ramezani, Farzad, Woolgar, Alexandra, Rich, Anina and Ghodrati, Masoud (2021). Perceptual difficulty modulates the direction of information flow in familiar face recognition. NeuroImage, 233 117896. doi: 10.1016/j.neuroimage.2021.117896
Karimi-Rouzbahani, Hamid, Woolgar, Alexandra and Rich, Anina N. (2021). Neural signatures of vigilance decrements predict behavioural errors before they occur. eLife, 10 e60563. doi: 10.7554/ELIFE.60563
Karimi-Rouzbahani, Hamid, Vahab, Ehsan, Ebrahimpour, Reza and Menhaj, Mohammad Bagher (2019). Spatiotemporal analysis of category and target-related information processing in the brain during object detection. Behavioural Brain Research, 362, 224-239. doi: 10.1016/j.bbr.2019.01.025
Karimi-Rouzbahani, Hamid (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, 12213. doi: 10.1038/s41598-018-30601-8
Karimi-Rouzbahani, Hamid, Bagheri, Nasour and Ebrahimpour, Reza (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. doi: 10.1038/s41598-017-13756-8
Karimi-Rouzbahani, Hamid, Bagheri, Nasour and Ebrahimpour, Reza (2017). Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition. Neuroscience, 349, 48-63. doi: 10.1016/j.neuroscience.2017.02.050
Karimi-Rouzbahani, Hamid, Bagheri, Nasour and Ebrahimpour, Reza (2017). Average activity, but not variability, is the dominant factor in the representation of object categories in the brain. Neuroscience, 346, 14-28. doi: 10.1016/j.neuroscience.2017.01.002
Rouzbahani, Hamid Karimi and Daliri, Mohammad Reza (2011). Diagnosis of Parkinson's disease in human using voice signals. Basic and Clinical Neuroscience, 2 (3), 12-20.