Pre-prints

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

  • Pronold J., Morales-Gregorio A., Rostami V., van Albada S. J. (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

2023

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

  • Jiang H-J., Qi G., Duarte R., Feldmeyer D., Sacha J van Albada SJ. (2023) A Layered Microcircuit Model of Somatosensory Cortex with Three Interneuron Types and Cell-Type-Specific Short-Term Plasticity.
    bioRxiv: 10.1101/2023.10.26.563698
  • Senk J., Hagen E., van Albada S.J., Diesmann M. (2023) Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space.
    ArXiv: 10.48550/arXiv.1805.10235

  • Pronold J., van Meegen A., Vollenbröker H., Shimoura R.O., Senden M., Hilgetag C.C., Bakker R., van Albada, S.J. (2023) Multi-Scale Spiking Network Model of Human Cerebral Cortex. bioRxiv 10.1101/2023.03.23.533968

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

  • Korcsak-Gorzo A., Linssen C., Albers J., Dasbach S., Duarte R., Kunkel S., Morrison A., Senk J., Stapmanns J., Tetzlaff T., Diesmann M., van Albada SJ. (2022) Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.
    ArXiv: 10.48550/arXiv.2212.05354

  • 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

2020

  • Rostami V., Rost T., Riehle A., van Albada S.J., Nawrot M.P. (2020) Spiking neural network model of motor cortex with joint excitatory and inhibitory clusters reflects task uncertainty, reaction times, and variability dynamics.
    BioRxiv: 10.1101/2020.02.27.968339 
Last Modified: 17.07.2024