| Category-selective patterns of neural response in the ventral visual pathway in the absence of categorical information DD Coggan, W Liu, DH Baker, TJ Andrews Neuroimage 135, 107-114, 2016 | 73 | 2016 |
| Brain networks underlying bistable perception DH Baker, T Karapanagiotidis, DD Coggan, K Wailes-Newson, ... NeuroImage 119, 229-234, 2015 | 50 | 2015 |
| Selectivity for mid‐level properties of faces and places in the fusiform face area and parahippocampal place area DD Coggan, DH Baker, TJ Andrews European Journal of Neuroscience 49 (12), 1587-1596, 2019 | 28 | 2019 |
| The role of visual and semantic properties in the emergence of category-specific patterns of neural response in the human brain DD Coggan, DH Baker, TJ Andrews ENeuro 3 (4), 2016 | 26 | 2016 |
| Differences in selectivity to natural images in early visual areas (V1–V3) DD Coggan, LA Allen, ORH Farrar, AD Gouws, AB Morland, DH Baker, ... Scientific Reports 7 (1), 2444, 2017 | 19 | 2017 |
| Spikiness and animacy as potential organizing principles of human ventral visual cortex DD Coggan, F Tong Cerebral Cortex 33 (13), 8194-8217, 2023 | 15 | 2023 |
| A data‐driven approach to stimulus selection reveals an image‐based representation of objects in high‐level visual areas DD Coggan, A Giannakopoulou, S Ali, B Goz, DM Watson, T Hartley, ... Human brain mapping 40 (16), 4716-4731, 2019 | 12 | 2019 |
| The representation of shape and texture in category-selective regions of ventral-temporal cortex DD Coggan, DM Watson, A Wang, R Brownbridge, C Ellis, K Jones, ... European Journal of Neuroscience, 2022 | 6 | 2022 |
| Maps of object animacy and aspect ratio in human high-level visual cortex. D Coggan, F Tong Journal of Vision 21 (9), 2811-2811, 2021 | 1 | 2021 |
| Behavioral and neural signatures of object-based attention in the human visual system F Tong, S Poltoratski, D Coggan, L Pidaparthi, E Cohen Journal of Vision 24 (10), 223-223, 2024 | | 2024 |
| Naturalistic dataset augmentation and self-supervised learning lead to more human-like recognition of occluded objects in convolutional neural networks D Coggan, F Tong Journal of Vision 24 (10), 1335-1335, 2024 | | 2024 |
| Unsupervised contrastive learning and supervised classification training have opposite effects on the human-likeness of CNNs during occluded object processing D Coggan, F Tong Journal of Vision 23 (9), 5448-5448, 2023 | | 2023 |
| Discovery of sharper orientation-tuned surround suppression for oblique than cardinal orientations provides support for a multi-stage model of normalization HY Miao, D Coggan, F Tong Journal of Vision 23 (9), 5426-5426, 2023 | | 2023 |
| Evidence for full amodal completion of occluded images in low-and high-level ventral visual cortex. D Coggan, F Tong Journal of Vision 22 (14), 4230-4230, 2022 | | 2022 |
| Category-selective patterns of neural response to objects with similar image properties, but different semantic properties. TJ Andrews, A Giannkopoulou, S Ali, B Goz, DD Coggan Journal of Vision 19 (10), 114c-114c, 2019 | | 2019 |
| The Neural Representation of Objects in Visual Cortex D Coggan University of York, 2019 | | 2019 |
| A data-driven approach to stimulus selection reveals the importance of visual properties in the neural representation of objects. D Coggan, D Watson, T Hartley, D Baker, T Andrews Journal of Vision 17 (10), 29-29, 2017 | | 2017 |
| Investigating the temporal properties of visual object processing using a multivariate analysis of EEG data. D Coggan, T Andrews, D Baker Journal of Vision 16 (12), 1311-1311, 2016 | | 2016 |
| Category-selective patterns of neural response to scrambled images in the ventral visual pathway. D Coggan, W Liu, D Baker, T Andrews Journal of Vision 15 (12), 622-622, 2015 | | 2015 |
| Naturalistic dataset augmentations lead to more human-like recognition of occluded objects in convolutional neural networks. DD Coggan, F Tong | | |
Daniel H. BakerHonorary Professor, University of YorkVerified email at york.ac.uk
