Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.
Neural Netw
; 90: 1-7, 2017 Jun.
Article
en En
| MEDLINE
| ID: mdl-28365399
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Potenciales de Acción
/
Redes Neurales de la Computación
/
Modelos Neurológicos
/
Neuronas
Tipo de estudio:
Clinical_trials
Límite:
Humans
Idioma:
En
Revista:
Neural Netw
Asunto de la revista:
NEUROLOGIA
Año:
2017
Tipo del documento:
Article