| A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity M Pals, TC Stewart, EG Akyürek, JP Borst PLOS Computational Biology 16 (6), e1007936, 2020 | 29 | 2020 |
| Trained recurrent neural networks develop phase-locked limit cycles in a working memory task M Pals, JH Macke, O Barak PLOS Computational Biology 20 (2), e1011852, 2024 | 11 | 2024 |
| Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks S Liebe, J Niediek, M Pals, TP Reber, J Faber, J Bostroem, CE Elger, ... bioRxiv, 2022.09. 25.509370, 2022 | 8 | 2022 |
| Demonstrating the Viability of Mapping Deep Learning Based EEG Decoders to Spiking Networks on Low-powered Neuromorphic Chips M Pals, RJP Belizón, N Berberich, SK Ehrlich, J Nassour, G Cheng 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science S Bischoff, A Darcher, M Deistler, R Gao, F Gerken, M Gloeckler, L Haxel, ... Transactions on Machine Learning Research, 2024 | 6* | 2024 |
| Inferring stochastic low-rank recurrent neural networks from neural data M Pals, AE Sağtekin, F Pei, M Gloeckler, JH Macke arXiv preprint arXiv:2406.16749, 2024 | 3 | 2024 |
| sbi reloaded: a toolkit for simulation-based inference workflows J Boelts, M Deistler, M Gloeckler, Á Tejero-Cantero, JM Lueckmann, ... arXiv preprint arXiv:2411.17337, 2024 | | 2024 |
| Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics M Deistler, KL Kadhim, M Pals, J Beck, Z Huang, M Gloeckler, ... bioRxiv, 2024.08. 21.608979, 2024 | | 2024 |
