000131138 001__ 131138
000131138 005__ 20240206150121.0
000131138 0247_ $$2doi$$a10.1103/PhysRevE.109.014301
000131138 0248_ $$2sideral$$a136705
000131138 037__ $$aART-2024-136705
000131138 041__ $$aeng
000131138 100__ $$0(orcid)0000-0002-8089-343X$$aBarrio, Roberto$$uUniversidad de Zaragoza
000131138 245__ $$aSynaptic dependence of dynamic regimes when coupling neural populations
000131138 260__ $$c2024
000131138 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131138 5203_ $$aIn this article we focus on the study of the collective dynamics of neural networks. The analysis of two recent models of coupled “next-generation” neural mass models allows us to observe different global mean dynamics of large neural populations. These models describe the mean dynamics of all-to-all coupled networks of quadratic integrate-and-fire spiking neurons. In addition, one of these models considers the influence of the synaptic adaptation mechanism on the macroscopic dynamics. We show how both models are related through a parameter and we study the evolution of the dynamics when switching from one model to the other by varying that parameter. Interestingly, we have detected three main dynamical regimes in the coupled models: Rössler-type (funnel type), bursting-type, and spiking-like (oscillator-type) dynamics. This result opens the question of which regime is the most suitable for realistic simulations of large neural networks and shows the possibility of the emergence of chaotic collective dynamics when synaptic adaptation is very weak.
000131138 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000131138 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000131138 700__ $$0(orcid)0000-0001-9868-9368$$aJover-Galtier, Jorge A.$$uUniversidad de Zaragoza
000131138 700__ $$0(orcid)0000-0002-4802-2511$$aMayora-Cebollero, Ana$$uUniversidad de Zaragoza
000131138 700__ $$0(orcid)0000-0002-3431-0926$$aMayora-Cebollero, Carmen$$uUniversidad de Zaragoza
000131138 700__ $$0(orcid)0000-0002-5701-1670$$aSerrano, Sergio$$uUniversidad de Zaragoza
000131138 7102_ $$12005$$2595$$aUniversidad de Zaragoza$$bDpto. Matemática Aplicada$$cÁrea Matemática Aplicada
000131138 773__ $$g109, 1 (2024), 014301 [9 pp.]$$pPhys. rev., E$$tPhysical Review E$$x2470-0045
000131138 8564_ $$s11104657$$uhttps://zaguan.unizar.es/record/131138/files/texto_completo.pdf$$yPostprint
000131138 8564_ $$s3440844$$uhttps://zaguan.unizar.es/record/131138/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000131138 909CO $$ooai:zaguan.unizar.es:131138$$particulos$$pdriver
000131138 951__ $$a2024-02-06-14:56:43
000131138 980__ $$aARTICLE