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physics.data-an2025
Fluid dynamics meet network science: two cases of temporal network eigendecomposition
Lucas Lacasa
Temporal networks, defined as sequences of time-aggregated adjacency matrices, sample latent graph dynamics and trace trajectories in graph space. By interpreting each adjacency ma…
cs.LG2025
Leveraging chaotic transients in the training of artificial neural networks
Pedro Jiménez-González, Miguel C. Soriano, Lucas Lacasa
Traditional algorithms to optimize artificial neural networks when confronted with a supervised learning task are usually exploitation-type relaxational dynamics such as gradient d…
q-bio.NC2025
Predictability of temporal network dynamics in normal ageing and brain pathology
Annalisa Caligiuri, David Papo, Görsev Yener +4
Spontaneous brain activity generically displays transient spatiotemporal coherent structures, which can selectively be affected in various neurological and psychiatric pathologies.…