Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani
Queensland Brain Institute and Mater Research Institute, University of Queensland
Verified email at - Homepage
Cited by
Cited by
# eegmanylabs: Investigating the Replicability of Influential EEG Experiments
YG Pavlov, N Adamian, S Appelhoff, M Arvaneh, CSY Benwell, C Beste, ...
Cortex, 2021
Diagnosis of Parkinson’s Disease in Human Using Voice Signals
H Karimi-Rouzbahani, MR Daliri
Basic and Clinical Neuroscience 2 (3), 12-20, 2011
Examining the generalizability of research findings from archival data
A Delios, EG Clemente, T Wu, H Tan, Y Wang, M Gordon, D Viganola, ...
Proceedings of the National Academy of Sciences 119 (30), e2120377119, 2022
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
H Karimi-Rouzbahani, N Bagheri, R Ebrahimpour
Scientific reports 7 (1), 14402, 2017
Perceptual difficulty modulates the direction of information flow in familiar face recognition
H Karimi-Rouzbahani, F Ramezani, A Woolgar, A Rich, M Ghodrati
NeuroImage 233, 117896, 2021
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition
H Karimi-Rouzbahani, N Bagheri, R Ebrahimpour
Neuroscience 349, 48-63, 2017
Average activity, but not variability, is the dominant factor in the representation of object categories in the brain
H Karimi-Rouzbahani, N Bagheri, R Ebrahimpour
Neuroscience 346, 14-28, 2017
Three-stage processing of category and variation information by entangled interactive mechanisms of peri-occipital and peri-frontal cortices
H Karimi-Rouzbahani
Scientific reports 8 (1), 12213, 2018
Spatiotemporal analysis of category and target-related information processing in the brain during object detection
H Karimi-Rouzbahani, E Vahab, R Ebrahimpour, MB Menhaj
Behavioural brain research 362, 224-239, 2019
Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative EEG features
H Karimi-Rouzbahani, M Shahmohammadi, E Vahab, S Setayeshi, ...
Neural Computation 33 (11), 3027–3072, 2021
Neural signatures of vigilance decrements predict behavioural errors before they occur
H Karimi-Rouzbahani, A Woolgar, AN Rich
Elife 10, e60563, 2021
Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets
Y Merrikhi*, M Shams-Ahmar*, H Karimi-Rouzbahani*, K Clark, ...
Journal of Cognitive Neuroscience 33 (10), 2167-2180, 2021
Caveats and nuances of model-based and model-free representational connectivity analysis
H Karimi-Rouzbahani, A Woolgar, R Henson, H Nili
Frontiers in Neuroscience 16, 755988, 2022
Perceptual difficulty modulates the direction of information flow in familiar face recognition. NeuroImage, 233, Article 117896
H Karimi-Rouzbahani, F Ramezani, A Woolgar, A Rich, M Ghodrati
Deeper neural network models better reflect how humans cope with contrast variation in object recognition
M Mokari-Mahallati, R Ebrahimpour, N Bagheri, H Karimi-Rouzbahani
Neuroscience Research 192, 48-55, 2023
Quantitative evaluation of human ventral visual stream in invariant object recognition: Human behavioral experiments and brain-plausible computational model simulations
H Karimi-Rouzbahani, R Ebrahimpour, N Bagheri
Machine Vision and Image Processing 3 (2), 59-72, 2016
When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns
H Karimi-Rouzbahani, A Woolgar
Frontiers in Neuroscience 16, 825746, 2022
Generalisability of epileptiform patterns across time and patients
H Karimi-Rouzbahani, A McGonigal
Scientific Reports 14 (6293), 2024
Evidence for multiscale multiplexed representation of visual features in EEG
H Karimi-Rouzbahani
Neural Computation 36 (3), 412-436, 2024
Facial Expression Recognition in Videos Using Dynamic Local Binary Patterns
A Bafandehkar, H Karimi-Rouzbahani
OSF preprint, 10.31219/, 2022
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