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 | 52 | 2014 |
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 (1), 25025, 2016 | 30 | 2016 |
Task‐dependent neural representations of visual object categories A Farzmahdi, F Fallah, R Rajimehr, R Ebrahimpour European Journal of Neuroscience 54 (7), 6445-6462, 2021 | 10 | 2021 |
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 | 3 | 2015 |
Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks A Farzmahdi, W Zarco, WA Freiwald, N Kriegeskorte, T Golan Elife 13, e90256, 2024 | 1 | 2024 |
Relating covariability in visual cortex to natural image statistics A Farzmahdi, R Coen-Cagli Conference on Cognitive Computational Neuroscience, 2022 | | 2022 |
Mirror-symmetric viewpoint selectivity in deep neural networks A Farzmahdi, T Golan, R Ebrahimpour, WA Freiwald Computation and Systems Neuroscience (COSYNE), 2021 | | 2021 |
Mechanisms of Facial Tuning in a Brain-inspired Deep Network A Farzmahdi, R Ebrahimpour, W Freiwald Journal of Vision 20 (11), 1463-1463, 2020 | | 2020 |