Investigating the route to synchronization in real-world neuronal networks of autaptic photosensitive neurons

Shihong Dang, Atiyeh Bayani, Huaigu Tian, Zhen Wang, Fatemeh Parastesh and Fahimeh Nazarimehr

Chaos, Solitons & Fractals, 2024, vol. 186, issue C

Abstract: The dynamics of synchronization transitions in two real-world neuronal networks, the rhesus macaque brain and cortical networks, are investigated. These networks are examples of neuronal networks, which are mathematical representations of the brain’s connectivity. The focus lies on a neuron model that incorporates autaptic regulation with a delay component and photosensitive neuron models. These two networks exhibit distinct behaviors during their synchronization transitions. One network displays an explosive transition-a sudden jump in synchronization evolution. The other network demonstrates an approximately continuous transition characterized by gradual changes. These observed explosive and continuous synchronization offer valuable insights into how network topology, encoded in the Laplacian matrix eigenvalues, influences neuronal behavior.

Keywords: Synchronization; Explosive transition; Continuous transition; Laplacian matrix spectrum; Eigenvalue distribution (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:186:y:2024:i:c:s096007792400777x

DOI: 10.1016/j.chaos.2024.115225

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