Pre-prints

2025

• Linssen C., Babu PN., Eppler JM., Koll L., Rumpe B., Morrison A. (2025) NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules. (2025) Frontiers in Neuroinformatics DOI: 10.3389/fninf.2025.1544143
  
  
• Quercia A., Cao Z., Bangun A., Paul RD., Morrison A., Assent I., Scharr H. (2025) 1LoRA: Summation Compression for Very Low-Rank Adaptation. arXiv: 10.48550/ARXIV.2503.08333
  
  
• Quercia A., Yildiz E., Cao Z., Krajsek K., Morrison A., Assent I., Scharr H. (2025) Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks. arXiv: 10.48550/ARXIV.2501.12824
  
  
• Rathore O., Paul R., Morrison A., Scharr H., Pfaehler E. (2025) Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation. arXiv: 10.48550/arxiv.2503.22271
  
  
• Ringel Z., Rubin N., Mor E., Helias M., Seroussi I. (2025 )Applications of Statistical Field Theory in Deep Learning. arXiv: 10.48550/arxiv.2502.18553
  
  
• Shao Y., Dahmen D., Recanatesi S., Shea-Brown E., Ostojic S. (2024) Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks. PRX Life. Accepted
  
  
• Rubin N., Fischer K., Lindner J., Dahmen D., Seroussi I., Ringel Z., Krämer M., Helias M. (2025) From Kernels to Features: A Multi-scale Adaptive Theory of Feature Learning. arXiv: 10.48550/arXiv.2502.03210
  
  

2024

• Albers J., Kurth A.C., Robin Gutzen R., Morales-Gregorio A., Denker M., Grün S., van Albada S.J., Diesmann M. (2024) Assessing the similarity of real matrices with arbitrary shape. arXiv: 10.48550/arXiv.2403.17687
  
  
• Epping B., René A., Helias M., Schaub MT. (2024) Graph Neural Networks Do Not Always Oversmooth. arXiv: 10.48550/arXiv.2406.02269
  
  
• Jiang H.-J., Aćimović J., Manninen T., Ahokainen I., Stapmanns J., Lehtimäki M., Diesmann M., van Albada SJ., Plesser HE., Linne M.-L. (2024) Modeling Neuron-astrocyte Interactions in Neural Networks Using Distributed Simulation. bioRxiv: 10.1101/2024.11.11.622953
  
  
• Köhler CA., Grün S., Denker M. (2024) Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO). arXiv: 10.48550/ARXIV.2412.05021
  
  
• Kurth AC., Albers J., Diesmann M. , van Albada SJ. (2024) Cell-type specific projection patterns promote balanced activity in cortical microcircuits. bioRxiv: 2024.10.03.616539
  
  
• Ness TV., Tetzlaff T., Einevoll GT., Dahmen D. (2024) On the validity of electric brain signal predictions based on population firing rates. bioRxiv: 10.1101/2024.07.10.602833
  
  
• Oberste-Frielinghaus J., Morales-Gregorio A., Essink S., Kleinjohann A., Grün S., Ito J. (2024) Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings. bioRxiv: 10.1101/2024.01.11.575181
  
  
• Pronold J., Morales-Gregorio A., Rostami V., van Albada SJ. (2024) Cortical multi-area model with joint excitatory-inhibitory clusters accounts for spiking statistics, inter-area propagation, and variability dynamics. bioRxiv: 10.1101/2024.01.30.577979
  
  
• Villamar J., Kelbling M., More HL., Denker M., Tetzlaff T., Senk J., Thober S. (2024) Metadata practices for simulation workflows. arXiv: 10.48550/arXiv.2408.17309
  
  

2023

• Fischer K., David D., Helias M. (2023) Optimal signal propagation in ResNets through residual scaling.
  ArXiv: 10.48550/arXiv.2305.07715
  
  

2022

• Keup C., Helias M. (2022) Origami in N dimensions: How feed-forward networks manufacture linear separability.
  ArXiv: 10.48550/arXiv.2203.11355
  
  
• Kleinjohann A., Berling D., Stella A., Tetzlaff T,, Grün S. (2022) Model of multiple synfire chains explains cortical spatio-temporal spike patterns.
  BioRxiv: 10.1101/2022.08.02.502431
  
  
• Stubenrauch J., Keup C., Kurth AC., Helias M., van Meegen A. (2022) Phase Space Analysis of Chaotic Neural Networks.
  ArXiv: 10.48550/arXiv.2210.07877