Self-Consistent Correlations of Randomly Coupled Rotators in the Asynchronous State A van Meegen, B Lindner Physical review letters 121 (25), 258302, 2018 | 22 | 2018 |
Large-Deviation Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions A van Meegen, T Kühn, M Helias Physical review letters 127 (15), 158302, 2021 | 17 | 2021 |
Unified field theoretical approach to deep and recurrent neuronal networks K Segadlo, B Epping, A van Meegen, D Dahmen, M Krämer, M Helias Journal of Statistical Mechanics: Theory and Experiment 2022 (10), 103401, 2022 | 16 | 2022 |
Microscopic theory of intrinsic timescales in spiking neural networks A van Meegen, SJ van Albada Physical Review Research 3 (4), 043077, 2021 | 12 | 2021 |
Usage and scaling of an open-source spiking multi-area model of monkey cortex SJ van Albada, J Pronold, A van Meegen, M Diesmann Brain-Inspired Computing: 4th International Workshop, BrainComp 2019 …, 2021 | 9 | 2021 |
NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models M Layer, J Senk, S Essink, A van Meegen, H Bos, M Helias Frontiers in neuroinformatics 16, 835657, 2022 | 8 | 2022 |
Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex A Morales-Gregorio, A van Meegen, SJ van Albada Cerebral Cortex 33 (16), 9439-9449, 2023 | 3 | 2023 |
Phase Space Analysis of Chaotic Neural Networks J Stubenrauch, C Keup, AC Kurth, M Helias, A van Meegen arXiv preprint arXiv:2210.07877, 2022 | 3 | 2022 |
Linking Network and Neuron-level Correlations by Renormalized Field Theory M Dick, A van Meegen, M Helias arXiv preprint arXiv:2309.14973, 2023 | 1 | 2023 |
Coding schemes in neural networks learning classification tasks A van Meegen, H Sompolinsky arXiv preprint arXiv:2406.16689, 2024 | | 2024 |
Multi-Scale Spiking Network Model of Human Cerebral Cortex J Pronold, A van Meegen, H Vollenbröker, RO Shimoura, M Senden, ... bioRxiv, 2023.03. 23.533968, 2023 | | 2023 |