| Flexible statistical inference for mechanistic models of neural dynamics JM Lueckmann, PJ Goncalves, G Bassetto, K Öcal, M Nonnenmacher, ... Advances in neural information processing systems 30, 2017 | 185 | 2017 |
| SBI--A toolkit for simulation-based inference A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ... arXiv preprint arXiv:2007.09114, 2020 | 136 | 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 | 129* | 2020 |
| Benchmarking simulation-based inference JM Lueckmann, J Boelts, D Greenberg, P Goncalves, J Macke International conference on artificial intelligence and statistics, 343-351, 2021 | 100 | 2021 |
| Optogenetic perturbations reveal the dynamics of an oculomotor integrator PJ Gonçalves, AB Arrenberg, B Hablitzel, H Baier, CK Machens Frontiers in neural circuits 8, 10, 2014 | 31 | 2014 |
| Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases V Lloréns-Rico, S Vieira-Silva, PJ Gonçalves, G Falony, J Raes Nature communications 12 (1), 3562, 2021 | 29 | 2021 |
| The geometry of robustness in spiking neural networks N Calaim, FA Dehmelt, PJ Gonçalves, CK Machens Elife 11, e73276, 2022 | 20* | 2022 |
| Energy efficient network activity from disparate circuit parameters M Deistler, JH Macke*, PJ Gonçalves* Proceedings of the National Academy of Sciences 119 (44), e2207632119, 2022 | 15* | 2022 |
| GATSBI: Generative adversarial training for simulation-based inference P Ramesh, JM Lueckmann, J Boelts, Á Tejero-Cantero, DS Greenberg, ... arXiv preprint arXiv:2203.06481, 2022 | 12 | 2022 |
| Truncated proposals for scalable and hassle-free simulation-based inference M Deistler, PJ Goncalves, JH Macke Advances in Neural Information Processing Systems 35, 23135-23149, 2022 | 9 | 2022 |
| Integration of sleep homeostasis and navigation in Drosophila A Flores-Valle, PJ Gonçalves, JD Seelig PLoS Computational Biology 17 (7), e1009088, 2021 | 9* | 2021 |
| Sustained activation of PV+ interneurons in core auditory cortex enables robust divisive gain control for complex and naturalistic stimuli T Gothner, PJ Gonçalves, M Sahani, JF Linden, KJ Hildebrandt Cerebral Cortex 31 (5), 2364-2381, 2021 | 6 | 2021 |
| Comparing neural simulations by neural density estimation J Boelts, JM Lueckmann, PJ Goncalves, H Sprekeler, JH Macke 2019 Conference on Cognitive Computational Neuroscience, 1289-1299, 2019 | 4 | 2019 |
| Robust statistical inference for simulation-based models in neuroscience M Nonnenmacher, PJ Goncalves, G Bassetto, JM Lueckmann, JH Macke Bernstein Conference 2018, Berlin, Germany, 2018 | 3 | 2018 |
| A neural circuit model of the oculomotor integrator: theory for optogenetic dissection P Gonçalves Université Pierre et Marie Curie, 2012 | 3 | 2012 |
| Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types Y Bernaerts, M Deistler, PJ Goncalves, J Beck, M Stimberg, F Scala, ... bioRxiv, 2023.03. 02.530774, 2023 | 2 | 2023 |
| Amortised inference for mechanistic models of neural dynamics JM Lueckmann, PJ Gonçalves, C Chintaluri, WF Podlaski, G Bassetto, ... Computational and Systems Neuroscience (Cosyne) 2019, 108, 2019 | 1 | 2019 |
| Flexible statistical inference for mechanistic models of neural dynamics P Goncalves, JM Lueckmann, G Bassetto, K Oecal, M Nonnenmacher, ... Bonn Brain 3 Conference 2018, Bonn, Germany, 2018 | 1 | 2018 |
| Model selection via neural density estimation J Boelts, JM Lueckmann, P Goncalves, H Sprekeler, JH Macke Conference in Cognitive Computing 2018, Hannover, Germany, 2018 | 1 | 2018 |
| 26th annual computational neuroscience meeting (CNS* 2017): part 1 S Denham, P Poirazi, E De Schutter, K Friston, HK Chan, T Nowotny, ... BMC Neuroscience 18, 1-14, 2017 | 1 | 2017 |
Jakob MackeMachine Learning in Science, Tübingen University在 uni-tuebingen.de 的电子邮件经过验证
