Astrid Zeman
Affiliations: | Katholieke Universiteit Leuven, Leuven, Vlaanderen, Belgium |
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| Bracci S, Mraz J, Zeman A, et al. (2023) The representational hierarchy in human and artificial visual systems in the presence of object-scene regularities. Plos Computational Biology. 19: e1011086 |
| Avberšek LK, Zeman A, Op de Beeck H. (2021) Training for object recognition with increasing spatial frequency: A comparison of deep learning with human vision. Journal of Vision. 21: 14 |
| Ritchie JB, Zeman AA, Bosmans J, et al. (2021) Untangling the animacy organization of occipitotemporal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Zeman AA, Ritchie JB, Bracci S, et al. (2020) Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex. Scientific Reports. 10: 2453 |
| McKendrick AM, Zeman A, Liu P, et al. (2019) Robot Assistants for Perimetry: A Study of Patient Experience and Performance. Translational Vision Science & Technology. 8: 59 |
| Ritchie JW, Bosmans J, Sun S, et al. (2019) The role of body partonomics and biological class in the representation of animacy in the ventral visual pathway Journal of Vision. 19: 114 |
| Zeman A, Obst O, Brooks KR. (2014) Complex cells decrease errors for the Müller-Lyer illusion in a model of the visual ventral stream. Frontiers in Computational Neuroscience. 8: 112 |
| Zeman A, Obst O, Brooks KR, et al. (2013) The Müller-Lyer Illusion in a computational model of biological object recognition. Plos One. 8: e56126 |
| Zeman A, Obst O, Rich AN. (2011) Exploring the Müller-Lyer illusion using an artificial feed-forward object recognition model F1000research. 2 |