Brain oscillations in a random neural network

[EN] It is well-known that rhythmic patterns of neural activity appear both in the normal and abnormal function of the brain. Apart from the standard bands of electric oscillations found in the electroencephalogram (EEG): from alpha (8-12 Hz) to delta waves (1-4 Hz), synchronized firing of neural po...

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Detalles Bibliográficos
Autores: Acedo Rodríguez, Luis, Moraño Fernández, José Antonio|||0000-0003-4385-7277
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/81334
Acceso en línea:https://riunet.upv.es/handle/10251/81334
Access Level:acceso abierto
Palabra clave:Neural oscillations
Stochastic neural models
Random networks
MATEMATICA APLICADA
Descripción
Sumario:[EN] It is well-known that rhythmic patterns of neural activity appear both in the normal and abnormal function of the brain. Apart from the standard bands of electric oscillations found in the electroencephalogram (EEG): from alpha (8-12 Hz) to delta waves (1-4 Hz), synchronized firing of neural populations characterize some complex cognitive functions such as memory, attention and consciousness. In the case of electrocardiogram (ECG) it is usually recognized that oscillations can be understood as the limit cycle of an underlying non-linear process in heart dynamics. However, the situation is not so clear for EEG and the origin and purpose of neural oscillations are still the subject of a heated debate. Our model is a version of the standard SIRS model from epidemiology in which susceptible, infected and recovered sites represent quiescent, firing and refractory neurons, respectively. Here we show that, in a SIRS random network epidemic model for neural activity, self-sustained oscillations appear in a restricted parameter region of the transition probabilities. This could explain the role of synchronized oscillations as a discriminant process for internal or external stimuli in brain dynamics. (C) 2011 Elsevier Ltd. All rights reserved.