| Deep convolutional models improve predictions of macaque V1 responses to natural images SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ... PLoS computational biology 15 (4), e1006897, 2019 | 412 | 2019 |
| Learning divisive normalization in primary visual cortex MF Burg, SA Cadena, GH Denfield, EY Walker, AS Tolias, M Bethge, ... PLoS computational biology 17 (6), e1009028, 2021 | 70 | 2021 |
| A rotation-equivariant convolutional neural network model of primary visual cortex AS Ecker, FH Sinz, E Froudarakis, PG Fahey, SA Cadena, EY Walker, ... International Conference on Learning Representations, 2018 | 60 | 2018 |
| Towards robust vision by multi-task learning on monkey visual cortex S Safarani, A Nix, K Willeke, S Cadena, K Restivo, G Denfield, A Tolias, ... Advances in Neural Information Processing Systems 34, 739-751, 2021 | 51 | 2021 |
| Generalization in data-driven models of primary visual cortex KK Lurz, M Bashiri, K Willeke, AK Jagadish, E Wang, EY Walker, ... BioRxiv, 2020.10. 05.326256, 2020 | 51 | 2020 |
| How well do deep neural networks trained on object recognition characterize the mouse visual system? SA Cadena, FH Sinz, T Muhammad, E Froudarakis, E Cobos, EY Walker, ... Advances in Neural Information Processing (NeurIPS) Neuro-AI Workshop, 2019 | 48 | 2019 |
| Diverse feature visualizations reveal invariances in early layers of deep neural networks SA Cadena, MA Weis, LA Gatys, M Bethge, AS Ecker Proceedings of the European Conference on Computer Vision (ECCV), 217-232, 2018 | 33 | 2018 |
| The Sensorium competition on predicting large-scale mouse primary visual cortex activity KF Willeke, PG Fahey, M Bashiri, L Pede, MF Burg, C Blessing, ... arXiv preprint arXiv:2206.08666, 2022 | 29 | 2022 |
| Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization KF Willeke, K Restivo, K Franke, AF Nix, SA Cadena, T Shinn, C Nealley, ... bioRxiv, 2023.05. 12.540591, 2023 | 27 | 2023 |
| Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks SA Cadena, KF Willeke, K Restivo, G Denfield, FH Sinz, M Bethge, ... PLOS Computational Biology 20 (5), e1012056, 2024 | 23 | 2024 |
| Bipartite invariance in mouse primary visual cortex Z Ding, DT Tran, K Ponder, E Cobos, Z Ding, PG Fahey, E Wang, ... bioRxiv, 2023 | 18 | 2023 |
| Rotation-invariant clustering of neuronal responses in primary visual cortex I Ustyuzhaninov, SA Cadena, E Froudarakis, PG Fahey, EY Walker, ... International Conference on Learning Representations (ICLR), 2020 | 14 | 2020 |
| Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex I Ustyuzhaninov, MF Burg, SA Cadena, J Fu, T Muhammad, K Ponder, ... bioRxiv, 2022.02. 10.479884, 2022 | 12 | 2022 |
| The sensorium competition on predicting large-scale mouse primary visual cortex activity. arXiv KF Willeke, PG Fahey, M Bashiri, L Pede, MF Burg, C Blessing, ... | 10 | 2022 |
| Deep convolutional models improve predictions of macaque v1 responses to natural images. bioRxiv, 2017 SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ... Europe PMC free article][Abstract][Academic Search], 201764, 2017 | 5 | 2017 |
| The Sensorium competition on predicting large-scale mouse primary visual cortex activity, June 2022 KF Willeke, PG Fahey, M Bashiri, L Pede, MF Burg, C Blessing, ... arXiv preprint arXiv:2206.08666, 2022 | 4 | 2022 |
| Learning divisive normalization in primary visual cortex MF Günthner, SA Cadena, GH Denfield, EY Walker, AS Tolias, M Bethge, ... BioRxiv, 767285, 2019 | 4 | 2019 |
| Retrospective on the SENSORIUM 2022 competition KF Willeke, PG Fahey, M Bashiri, L Hansel, C Blessing, KK Lurz, MF Burg, ... NeurIPS 2022 Competition Track, 314-333, 2023 | 3 | 2023 |
| A diverse task-driven characterization of early and mid-level representations of the primate ventral stream SA Cadena, K Willeke, K Restivo, G Denfield, EY Walker, F Sinz, ... Computational and Systems Neuroscience Meeting (COSYNE 2021), 2021 | 3 | 2021 |
| A goal-driven deep learning approach for V1 system identification SA Cadena, AS Ecker, GH Denfield, EY Walker, AS Tolias, M Bethge Bernstein Conference 2016, 40-41, 2016 | | 2016 |
Alexander S. EckerUniversity of Göttingen, GermanyPreverjeni e-poštni naslov na cs.uni-goettingen.de
