Priesemann, Viola

Authors Makkeh A, Graetz M, Schneider AC, Ehrlich DA, Priesemann V, Wibral M Journal Proceedings of the National Academy of Sciences of the United States of America Citation Proc Natl Acad Sci U S A. 2025 Mar 11;122(10):e2408125122. Abstract Despite the impressive performance of biological and artificial networks, an intuitive

Authors Reitenbach A, Sartori F, Banisch S, Golovin A, Calero Valdez A, Kretzschmar M, Priesemann V, Mäs M Journal Reports on Progress in Physics Citation Rep. Prog. Phys. 88 016601. Abstract To comprehend the dynamics of infectious disease transmission, it is imperative to incorporate human protective behavior into models of

Authors Schneider AC, Neuhaus V, Ehrlich DA, Makkeh A, Ecker AS, Priesemann V, Wibral M Journal Arxiv Citation arXiv:2412.02482. Abstract In modern deep neural networks, the learning dynamics of the individual neurons is often obscure, as the networks are trained via global optimization. Conversely, biological systems build on self-organized, local

Authors Wagner J, Bauer S, Contreras S, Fleddermann L, Parlitz U, Priesemann V Journal Physical Review Research Citation Phys Rev Research. 2024. accepted paper. Abstract Classically, endemic infectious diseases are expected to display relatively stable, predictable infection dynamics. Accordingly, basic disease models such as the SIRS model display stable endemic

Authors Reshetniak S, Bogaciu CA, Bonn S, Brose N, Cooper BH, D’Este E, Fauth M, Fernández-Busnadiego R, Fiosins M, Fischer A, Georgiev SV, Jakobs S, Klumpp S, Köster S, Lange F, Lipstein N, Macarrón-Palacios V, Milovanovic D, Moser T, Müller M, Opazo F, Outeiro TF, Pape C, Priesemann V, Rehling

Authors Rudelt L, González Marx D, Spitzner FP, Cramer B, Zierenberg J, Priesemann V. Journal PLoS Computational Biology Citation PLoS Comput Biol. 2024 Aug 22;20(8):e1012355. Abstract A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing

Authors Mikulasch FA, Georgiev SV, Rudelt L, Rizzoli S, Priesemann V Journal BioRxiv Citation bioRxiv 2024.07.19.604253. Abstract After synaptic transmission, fused synaptic vesicles are recycled, enabling the synapse to recover its capacity for renewed release. The recovery steps, which range from endocytosis to vesicle docking and priming, have been studied

Authors Oróstica KY, Mohr SB, Dehning J, Bauer S, Medina-Ortiz D, Iftekhar EN, Mujica K, Covarrubias PC, Ulloa S, Castillo AE, Daza-Sánchez A, Verdugo RA, Fernández J, Olivera-Nappa Á, Priesemann V, Contreras S Journal Scientific Reports Citation Sci Rep. 2024 Jul 11;14(1):16000. Abstract Genomic surveillance (GS) programmes were crucial in

Authors van Driel K, Rudelt L, Priesemann V, Mikulasch FA Journal Biorxiv Citation bioRxiv 2023.11.16.567335. Abstract Prediction mismatch responses in cortex seem to signal the difference between an internal model of the animal and sensory observations. Often these responses are interpreted as evidence for the existence of error neurons, which

Authors Yamamoto H, Spitzner FP, Takemuro T, Buendía V, Murota H, Morante C, Konno T, Sato S, Hirano-Iwata A, Levina A, Priesemann V, Muñoz MA, Zierenberg J, Soriano J Journal Science Advances Citation Sci Adv. 2023 Aug 25;9(34):eade1755. Abstract High-level information processing in the mammalian cortex requires both segregated processing