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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model

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Author(s):
Borges, F. S. ; Protachevicz, P. R. ; Lameu, E. L. ; Bonetti, R. C. ; Iarosz, K. C. ; Caldas, I. L. ; Baptista, M. S. ; Batista, A. M.
Total Authors: 8
Document type: Journal article
Source: NEURAL NETWORKS; v. 90, p. 1-7, JUN 2017.
Web of Science Citations: 9
Abstract

We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections, by constructing parameter spaces that identify these synchronous behaviours from measurements of the inter-spike interval and the calculation of the order parameter. Moreover, we verify the robustness of synchronisation by applying an external perturbation to each neuron. The simulations show that bursting synchronisation is more robust than spike synchronisation. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 16/16148-5 - Synchronous behaviour and synaptic plasticity in complex networks
Grantee:Kelly Cristiane Iarosz
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 15/07311-7 - Dynamic behaviour of neural networks
Grantee:Kelly Cristiane Iarosz
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 11/19296-1 - Nonlinear dynamics
Grantee:Iberê Luiz Caldas
Support Opportunities: Research Projects - Thematic Grants