145685 20260217205532.0 doi 10.1103/PhysRevE.110.044406 sideral 140602 ART-2024-140602 eng Fiasconaro, Alessandro Universidad de Zaragoza (orcid)0000-0001-6859-099X Hippocampal synchronization in a realistic CA1 neuron model 2024 This work delves into studying the synchronization in two realistic neuron models using Hodgkin-Huxley dynamics. Unlike simplistic pointlike models, excitatory synapses are here randomly distributed along the dendrites, introducing strong stochastic contributions into their signal propagation. To focus on the role of different synaptic locations, we use two copies of the same neuron whose synapses are located at different distances from the soma and activated by identical Poisson distributed pulses. The synchronization is investigated through a specifically defined spiking correlation function, and its behavior is analyzed as a function of several parameters: inhibition weight, distance from the soma of one synaptic group, weight and decay time constants of the excitatory synapses. info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2023-147734NB-I00 info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.4 2024 PHYSICS, MATHEMATICAL 13 / 61 = 0.213 2024 Q1 T1 PHYSICS, FLUIDS & PLASMAS 17 / 41 = 0.415 2024 Q2 T2 0.705 2024 Condensed Matter Physics 2024 Q2 Statistics and Probability 2024 Q2 Statistical and Nonlinear Physics 2024 Q2 4.2 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Migliore, Michele 2003 395 Universidad de Zaragoza Dpto. Física Materia Condensa. Área Física Materia Condensada 110, 4 (2024), 044406 [9 pp.] Phys. rev., E Physical Review E 2470-0045 1788590 http://zaguan.unizar.es/record/145685/files/texto_completo.pdf Versión publicada 3038703 http://zaguan.unizar.es/record/145685/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:145685 articulos driver 2026-02-17-20:33:01 ARTICLE