| Small-molecule modulation of TDP-43 recruitment to stress granules prevents persistent TDP-43 accumulation in ALS/FTD MY Fang, S Markmiller, AQ Vu, A Javaherian, WE Dowdle, P Jolivet, ... Neuron 103 (5), 802-819. e11, 2019 | 226 | 2019 |
| Learning long-range spatial dependencies with horizontal gated recurrent units D Linsley, J Kim, V Veerabadran, C Windolf, T Serre Advances in neural information processing systems 31, 2018 | 183 | 2018 |
| Learning what and where to attend D Linsley, D Shiebler, S Eberhardt, T Serre arXiv preprint arXiv:1805.08819, 2018 | 164 | 2018 |
| Reliability and validity of the Virtual Reality Lateralized Attention Test in assessing hemispatial neglect in right-hemisphere stroke. LJ Buxbaum, AM Dawson, D Linsley Neuropsychology 26 (4), 430, 2012 | 115 | 2012 |
| Development of a deep learning algorithm for the histopathologic diagnosis and Gleason grading of prostate cancer biopsies: a pilot study O Kott, D Linsley, A Amin, A Karagounis, C Jeffers, D Golijanin, T Serre, ... European urology focus 7 (2), 347-351, 2021 | 75 | 2021 |
| Harmonizing the object recognition strategies of deep neural networks with humans T Fel, IF Rodriguez Rodriguez, D Linsley, T Serre Advances in neural information processing systems 35, 9432-9446, 2022 | 70 | 2022 |
| Congenital myopathy results from misregulation of a muscle Ca2+ channel by mutant Stac3 JW Linsley, IU Hsu, L Groom, V Yarotskyy, M Lavorato, EJ Horstick, ... Proceedings of the National Academy of Sciences 114 (2), E228-E236, 2017 | 59 | 2017 |
| What are the visual features underlying human versus machine vision? D Linsley, S Eberhardt, T Sharma, P Gupta, T Serre Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 55 | 2017 |
| Disentangling neural mechanisms for perceptual grouping J Kim, D Linsley, K Thakkar, T Serre arXiv preprint arXiv:1906.01558, 2019 | 52 | 2019 |
| Recurrent neural circuits for contour detection D Linsley, J Kim, A Ashok, T Serre arXiv preprint arXiv:2010.15314, 2020 | 50 | 2020 |
| Complementary surrounds explain diverse contextual phenomena across visual modalities. DA Mély, D Linsley, T Serre Psychological review 125 (5), 769, 2018 | 48 | 2018 |
| Stable and expressive recurrent vision models D Linsley, A Karkada Ashok, LN Govindarajan, R Liu, T Serre Advances in Neural Information Processing Systems 33, 10456-10467, 2020 | 45 | 2020 |
| Global-and-local attention networks for visual recognition D Linsley, D Shiebler, S Eberhardt, T Serre Benefits 64 (01), 2018 | 38 | 2018 |
| Understanding the computational demands underlying visual reasoning M Vaishnav, R Cadene, A Alamia, D Linsley, R VanRullen, T Serre Neural Computation 34 (5), 1075-1099, 2022 | 20 | 2022 |
| Superhuman cell death detection with biomarker-optimized neural networks JW Linsley, DA Linsley, J Lamstein, G Ryan, K Shah, NA Castello, V Oza, ... Science advances 7 (50), eabf8142, 2021 | 20 | 2021 |
| Encoding-stage crosstalk between object-and spatial property-based scene processing pathways D Linsley, SP MacEvoy Cerebral Cortex 25 (8), 2267-2281, 2015 | 18 | 2015 |
| Evidence for participation by object-selective visual cortex in scene category judgments D Linsley, SP MacEvoy Journal of vision 14 (9), 19-19, 2014 | 18 | 2014 |
| Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex D Linsley, IF Rodriguez Rodriguez, T Fel, M Arcaro, S Sharma, ... Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| How and what to learn: Taxonomizing self-supervised learning for 3d action recognition AB Tanfous, A Zerroug, D Linsley, T Serre 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2022 | 15 | 2022 |
| Tracking without re-recognition in humans and machines D Linsley, G Malik, J Kim, LN Govindarajan, E Mingolla, T Serre Advances in Neural Information Processing Systems 34, 19473-19486, 2021 | 14 | 2021 |
