| Imaging input and output of neocortical networks in vivo JND Kerr, D Greenberg, F Helmchen Proceedings of the National Academy of Sciences 102 (39), 14063-14068, 2005 | 571 | 2005 |
| Population imaging of ongoing neuronal activity in the visual cortex of awake rats DS Greenberg, AR Houweling, JND Kerr Nature neuroscience 11 (7), 749-751, 2008 | 502 | 2008 |
| Rats maintain an overhead binocular field at the expense of constant fusion DJ Wallace, DS Greenberg, J Sawinski, S Rulla, G Notaro, JND Kerr Nature 498 (7452), 65-69, 2013 | 308 | 2013 |
| Automatic Posterior Transformation for Likelihood-Free Inference DS Greenberg, M Nonnenmacher, JH Macke International Conference on Machine Learning, 2019 | 303 | 2019 |
| Spatial organization of neuronal population responses in layer 2/3 of rat barrel cortex JND Kerr, CPJ De Kock, DS Greenberg, RM Bruno, B Sakmann, ... Journal of neuroscience 27 (48), 13316-13328, 2007 | 303 | 2007 |
| Visually evoked activity in cortical cells imaged in freely moving animals J Sawinski, DJ Wallace, DS Greenberg, S Grossmann, W Denk, JND Kerr Proceedings of the National Academy of Sciences 106 (46), 19557-19562, 2009 | 271 | 2009 |
| SBI--A toolkit for simulation-based inference A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ... The Journal of Open Source Software 5 (52), 2505, 2020 | 254 | 2020 |
| Training deep neural density estimators to identify mechanistic models of neural dynamics PJ Gonçalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ... Elife 9, e56261, 2020 | 198 | 2020 |
| Automated correction of fast motion artifacts for two-photon imaging of awake animals DS Greenberg, JND Kerr Journal of neuroscience methods 176 (1), 1-15, 2009 | 181 | 2009 |
| Benchmarking Simulation-Based Inference JM Lueckmann, J Boelts, DS Greenberg, PJ Gonçalves, JH Macke Proceedings of The 24th International Conference on Artificial Intelligence …, 2021 | 179 | 2021 |
| Changing the responses of cortical neurons from sub-to suprathreshold using single spikes in vivo V Pawlak, DS Greenberg, H Sprekeler, W Gerstner, JND Kerr Elife 2, e00012, 2013 | 39 | 2013 |
| Machine learning in marine ecology: an overview of techniques and applications P Rubbens, S Brodie, T Cordier, D Destro Barcellos, P Devos, ... ICES Journal of Marine Science 80 (7), 1829-1853, 2023 | 36 | 2023 |
| GATSBI: Generative Adversarial Training for Simulation-Based Inference P Ramesh, JM Lueckmann, J Boelts, Á Tejero-Cantero, DS Greenberg, ... International Conference on Learning Representations., 2022 | 33 | 2022 |
| Ocular Videography System J Kerr, DH Wallace, J Sawinski, D Greenberg US Patent 9,801,539, 2017 | 31 | 2017 |
| Deep Emulators for Differentiation, Forecasting and Parametrization in Earth Science Simulators M Nonnenmacher, DS Greenberg Journal of Advances in Modeling Earth Systems, e2021MS002554, 2021 | 28 | 2021 |
| Accurate action potential inference from a calcium sensor protein through biophysical modeling DS Greenberg, DJ Wallace, KM Voit, S Wuertenberger, U Czubayko, ... BioRxiv, 479055, 2018 | 26 | 2018 |
| Imaging neuronal population activity in awake and anesthetized rodents DS Greenberg, DJ Wallace, JND Kerr Cold Spring Harbor protocols 2014 (9), pdb. top083535, 2014 | 7 | 2014 |
| To the brave scientists: Aren't we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling? H Paasche, M Gross, J Lüttgau, D Greenberg, T Weigel Geoscience Data Journal, 2021 | 6 | 2021 |
| Robust detection of marine life with label-free image feature learning and probability calibration T Schanz, KO Möller, S Rühl, DS Greenberg Machine Learning: Science and Technology 4 (3), 035007, 2023 | 2 | 2023 |
| Statistical inference for analyzing sloppiness in neuroscience models M Deistler, GJ Pedro, JM Lueckmann, K Oecal, DS Greenberg, JH Macke Bernstein Conference 2019, Berlin, Germany, 2019 | 2 | 2019 |
Jakob MackeMachine Learning in Science, Tübingen UniversityVerified email at uni-tuebingen.de
