Regensburg 2022 – wissenschaftliches Programm
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 20: Nonlinear Dynamics 2: Stochastic and Complex Systems, Networks (joint session DY/SOE)
SOE 20.4: Vortrag
Freitag, 9. September 2022, 12:15–12:30, H19
Memory formation in adaptive networks — •Komal Bhattacharyya1, David Zwicker1, and Karen Alim1,2 — 1Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany — 2Physik-Department, Technische Universität München, Garching, Germany
Continuous adaptation of networks like our vasculature ensures optimal network performance when challenged with changing loads. Here, we show that adaptation dynamics allow a network to memorize the position of an applied load within its network morphology. We identify that the irreversible dynamics of vanishing network links encode memory. Our analytical theory successfully predicts the role of all system parameters during memory formation, including parameter values which which prvent memory formation. We thus provide an analytically tractable theory of memory formation in disordered systems.