| Context-dependent computation by recurrent dynamics in prefrontal cortex V Mante, D Sussillo, KV Shenoy, WT Newsome nature 503 (7474), 78-84, 2013 | 1800 | 2013 |
| Do we know what the early visual system does? M Carandini, JB Demb, V Mante, DJ Tolhurst, Y Dan, BA Olshausen, ... Journal of Neuroscience 25 (46), 10577-10597, 2005 | 822 | 2005 |
| How MT cells analyze the motion of visual patterns NC Rust, V Mante, EP Simoncelli, JA Movshon Nature neuroscience 9 (11), 1421-1431, 2006 | 625 | 2006 |
| Independence of luminance and contrast in natural scenes and in the early visual system V Mante, RA Frazor, V Bonin, WS Geisler, M Carandini Nature neuroscience 8 (12), 1690-1697, 2005 | 451 | 2005 |
| The suppressive field of neurons in lateral geniculate nucleus V Bonin, V Mante, M Carandini Journal of Neuroscience 25 (47), 10844-10856, 2005 | 297 | 2005 |
| Functional mechanisms shaping lateral geniculate responses to artificial and natural stimuli V Mante, V Bonin, M Carandini Neuron 58 (4), 625-638, 2008 | 159 | 2008 |
| Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making MC Aoi, V Mante, JW Pillow Nature neuroscience 23 (11), 1410-1420, 2020 | 146 | 2020 |
| Mapping of stimulus energy in primary visual cortex V Mante, M Carandini Journal of neurophysiology 94 (1), 788-798, 2005 | 104 | 2005 |
| The statistical computation underlying contrast gain control V Bonin, V Mante, M Carandini Journal of Neuroscience 26 (23), 6346-6353, 2006 | 97 | 2006 |
| Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments M Marks, Q Jin, O Sturman, L von Ziegler, S Kollmorgen, ... Nature machine intelligence 4 (4), 331-340, 2022 | 88 | 2022 |
| Nearest neighbours reveal fast and slow components of motor learning S Kollmorgen, RHR Hahnloser, V Mante Nature 577 (7791), 526-530, 2020 | 53 | 2020 |
| Residual dynamics resolves recurrent contributions to neural computation AR Galgali, M Sahani, V Mante Nature Neuroscience 26 (2), 326-338, 2023 | 40 | 2023 |
| A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making M Pagan, VD Tang, MC Aoi, JW Pillow, V Mante, D Sussillo, CD Brody bioRxiv, 2022.11. 28.518207, 2022 | 15 | 2022 |
| Visual cortex: seeing motion V Mante, M Carandini Current Biology 13 (23), R906-R908, 2003 | 12 | 2003 |
| Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics J Soldado-Magraner, V Mante, M Sahani Science Advances 10 (51), eadl4743, 2024 | 10 | 2024 |
| Independence of gain control mechanisms in early visual system matches the statistics of natural images V Mante, RA Frazor, V Bonin, WS Geisler, M Carandini Journal of Vision 5 (8), 371-371, 2005 | 10 | 2005 |
| Nonlinear processing in LGN neurons V Bonin, V Mante, M Carandini Advances in neural information processing systems 16, 2003 | 10 | 2003 |
| Dendritic integration of sensory and reward information facilitates learning G Schoenfeld, S Kollmorgen, C Lewis, P Bethge, AM Reuss, A Aguzzi, ... Biorxiv, 2021 | 9 | 2021 |
| SIPEC: the deep-learning Swiss knife for behavioral data analysis M Marks, J Qiuhan, O Sturman, L von Ziegler, S Kollmorgen, ... BioRxiv, 2020 | 9 | 2020 |
| Deep-learning based identification, pose estimation and end-to-end behavior classification for interacting primates and mice in complex environments M Marks, J Qiuhan, O Sturman, L von Ziegler, S Kollmorgen, ... bioRxiv, 2020.10. 26.355115, 2020 | 8 | 2020 |