Adaptive rewiring: a general principle for neural network development DOI Creative Commons
Jia Li, Roman Bauer, Ilias Rentzeperis

и другие.

Frontiers in Network Physiology, Год журнала: 2024, Номер 4

Опубликована: Окт. 29, 2024

The nervous system, especially the human brain, is characterized by its highly complex network topology. neurodevelopment of some features has been described in terms dynamic optimization rules. We discuss principle adaptive rewiring, i.e., reorganization a according to intensity internal signal communication as measured synchronization or diffusion, and recent generalization for applications directed networks. These have extended rewiring from oversimplified networks more neurally plausible ones. Adaptive captures all key brain topology: it transforms initially random regular into with modular small-world structure rich-club core. This effect specific sense that can be tailored computational needs, robust does not depend on critical regime, flexible parametric variation generates range variant configurations. Extreme associated at macroscopic level disorders such schizophrenia, autism, dyslexia, suggest relationship between dyslexia creativity. cooperates growth interacts constructively spatial organization principles formation topographically distinct modules structures ganglia chains. At mesoscopic level, enables development functional architectures, convergent-divergent units, sheds light early divergence convergence in, example, visual system. Finally, we future prospects rewiring.

Язык: Английский

Adaptive rewiring: a general principle for neural network development DOI Creative Commons
Jia Li, Roman Bauer, Ilias Rentzeperis

и другие.

Frontiers in Network Physiology, Год журнала: 2024, Номер 4

Опубликована: Окт. 29, 2024

The nervous system, especially the human brain, is characterized by its highly complex network topology. neurodevelopment of some features has been described in terms dynamic optimization rules. We discuss principle adaptive rewiring, i.e., reorganization a according to intensity internal signal communication as measured synchronization or diffusion, and recent generalization for applications directed networks. These have extended rewiring from oversimplified networks more neurally plausible ones. Adaptive captures all key brain topology: it transforms initially random regular into with modular small-world structure rich-club core. This effect specific sense that can be tailored computational needs, robust does not depend on critical regime, flexible parametric variation generates range variant configurations. Extreme associated at macroscopic level disorders such schizophrenia, autism, dyslexia, suggest relationship between dyslexia creativity. cooperates growth interacts constructively spatial organization principles formation topographically distinct modules structures ganglia chains. At mesoscopic level, enables development functional architectures, convergent-divergent units, sheds light early divergence convergence in, example, visual system. Finally, we future prospects rewiring.

Язык: Английский

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