| Neural circuits underlying visually evoked escapes in larval zebrafish TW Dunn, C Gebhardt, EA Naumann, C Riegler, MB Ahrens, F Engert, ... Neuron 89 (3), 613-628, 2016 | 278 | 2016 |
| Photochemical control of endogenous ion channels and cellular excitability DL Fortin, MR Banghart, TW Dunn, K Borges, DA Wagenaar, Q Gaudry, ... Nature methods 5 (4), 331-338, 2008 | 274 | 2008 |
| Brain-wide mapping of neural activity controlling zebrafish exploratory locomotion TW Dunn, Y Mu, S Narayan, O Randlett, EA Naumann, CT Yang, ... Elife 5, e12741, 2016 | 260 | 2016 |
| From whole-brain data to functional circuit models: the zebrafish optomotor response EA Naumann, JE Fitzgerald, TW Dunn, J Rihel, H Sompolinsky, F Engert Cell 167 (4), 947-960. e20, 2016 | 220 | 2016 |
| Identification of nonvisual photomotor response cells in the vertebrate hindbrain D Kokel, TW Dunn, MB Ahrens, R Alshut, CYJ Cheung, L Saint-Amant, ... Journal of Neuroscience 33 (9), 3834-3843, 2013 | 124 | 2013 |
| Geometric deep learning enables 3D kinematic profiling across species and environments TW Dunn, JD Marshall, KS Severson, DE Aldarondo, DGC Hildebrand, ... Nature methods 18 (5), 564-573, 2021 | 116 | 2021 |
| Spinal projection neurons control turning behaviors in zebrafish KH Huang, MB Ahrens, TW Dunn, F Engert Current Biology 23 (16), 1566-1573, 2013 | 114 | 2013 |
| Continuous whole-body 3D kinematic recordings across the rodent behavioral repertoire JD Marshall, DE Aldarondo, TW Dunn, WL Wang, GJ Berman, ... Neuron 109 (3), 420-437. e8, 2021 | 91 | 2021 |
| Optogenetic photochemical control of designer K+ channels in mammalian neurons DL Fortin, TW Dunn, A Fedorchak, D Allen, R Montpetit, MR Banghart, ... Journal of neurophysiology 106 (1), 488-496, 2011 | 86 | 2011 |
| Leaving flatland: Advances in 3D behavioral measurement JD Marshall, T Li, JH Wu, TW Dunn Current Opinion in Neurobiology 73, 102522, 2022 | 24 | 2022 |
| Engineering light-regulated ion channels DL Fortin, TW Dunn, RH Kramer Cold Spring Harbor Protocols 2011 (6), pdb. top112, 2011 | 16 | 2011 |
| Machine learning for predicting in-hospital mortality after traumatic brain injury in both high-income and low-and middle-income countries PI Warman, A Seas, N Satyadev, SM Adil, BJ Kolls, MM Haglund, ... Neurosurgery 90 (5), 605-612, 2022 | 15 | 2022 |
| The pair-r24m dataset for multi-animal 3d pose estimation JD Marshall, U Klibaite, A Gellis, DE Aldarondo, BP Ölveczky, TW Dunn bioRxiv, 2021.11. 23.469743, 2021 | 15 | 2021 |
| Deep learning to predict traumatic brain injury outcomes in the low-resource setting SM Adil, C Elahi, DN Patel, A Seas, PI Warman, AT Fuller, MM Haglund, ... World Neurosurgery 164, e8-e16, 2022 | 13 | 2022 |
| Gigapixel imaging with a novel multi-camera array microscope EE Thomson, M Harfouche, K Kim, PC Konda, CW Seitz, C Cooke, S Xu, ... Elife 11, e74988, 2022 | 12 | 2022 |
| Predicting the individual treatment effect of neurosurgery for patients with traumatic brain injury in the low-resource setting: a machine learning approach in Uganda SM Adil, C Elahi, R Gramer, CA Spears, AT Fuller, MM Haglund, TW Dunn Journal of Neurotrauma 38 (7), 928-939, 2021 | 10 | 2021 |
| Sociocultural determinants and patterns of healthcare utilization for epilepsy care in Uganda DC Koltai, TW Dunn, PJ Smith, DD Sinha, S Bobholz, M Kaddumukasa, ... Epilepsy & Behavior 114, 107304, 2021 | 10 | 2021 |
| Correcting for physical distortions in visual stimuli improves reproducibility in zebrafish neuroscience TW Dunn, JE Fitzgerald Elife 9, e53684, 2020 | 9 | 2020 |
| Machine learning for predicting discharge disposition after traumatic brain injury N Satyadev, PI Warman, A Seas, BJ Kolls, MM Haglund, AT Fuller, ... Neurosurgery 90 (6), 768-774, 2022 | 8 | 2022 |
| Increasing a microscope’s effective field of view via overlapped imaging and machine learning X Yao, V Pathak, H Xi, A Chaware, C Cooke, K Kim, S Xu, Y Li, T Dunn, ... Optics Express 30 (2), 1745-1761, 2022 | 7 | 2022 |
