Masoud Ghodrati, PhD
TitleCited byYear
Deep networks can resemble human feed-forward vision in invariant object recognition
SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier
Scientific reports 6, 32672, 2016
Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural Networks, 2018
The (un) suitability of modern liquid crystal displays (LCDs) for vision research
M Ghodrati, AP Morris, NSC Price
Frontiers in psychology 6, 303, 2015
How can selection of biologically inspired features improve the performance of a robust object recognition model?
M Ghodrati, SM Khaligh-Razavi, R Ebrahimpour, K Rajaei, M Pooyan
PloS one 7 (2), e32357, 2012
Feedforward object-vision models only tolerate small image variations compared to human
M Ghodrati, A Farzmahdi, K Rajaei, R Ebrahimpour, SM Khaligh-Razavi
Frontiers in computational neuroscience 8, 74, 2014
Humans and deep networks largely agree on which kinds of variation make object recognition harder
SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier
Frontiers in computational neuroscience 10, 92, 2016
A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization
K Rajaei, SM Khaligh-Razavi, M Ghodrati, R Ebrahimpour, MESA Abadi
Plos One 7 (6), e38478, 2012
Towards building a more complex view of the lateral geniculate nucleus: recent advances in understanding its role
M Ghodrati, SM Khaligh-Razavi, SR Lehky
Progress in Neurobiology 156, 214-255, 2017
A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans
A Farzmahdi, K Rajaei, M Ghodrati, R Ebrahimpour, SM Khaligh-Razavi
Scientific reports 6, 25025, 2016
Predicting the human reaction time based on natural image statistics in a rapid categorization task
A Mirzaei, SM Khaligh-Razavi, M Ghodrati, S Zabbah, R Ebrahimpour
Vision research 81, 36-44, 2013
The importance of visual features in generic vs. specialized object recognition: a computational study
M Ghodrati, K Rajaei, R Ebrahimpour
Frontiers in computational neuroscience 8, 78, 2014
Orientation selectivity in rat primary visual cortex emerges earlier with low‐contrast and high‐luminance stimuli
M Ghodrati, DS Alwis, NSC Price
European Journal of Neuroscience 44 (10), 2759-2773, 2016
A specialized face-processing network consistent with the representational geometry of monkey face patches
A Farzmahdi, K Rajaei, M Ghodrati, R Ebrahimpour, SM Khaligh-Razavi
arXiv preprint arXiv:1502.01241, 2015
Contrast and luminance adaptation alter neuronal coding and perception of stimulus orientation
M Ghodrati, E Zavitz, MGP Rosa, NSC Price
Nature communications 10 (1), 941, 2019
Low-Level Contrast Statistics of Natural Images Can Modulate the Frequency of Event-Related Potentials (ERP) in Humans
M Ghodrati, M Ghodousi, A Yoonessi
Frontiers in human neuroscience 10, 630, 2016
Object categorization in visual periphery is modulated by delayed foveal noise
F Ramezani, SR Kheradpisheh, SJ Thorpe, M Ghodrati
Journal of vision 19 (9), 1-1, 2019
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