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Effects of spike anticipation on the spiking dynamics of neural networks

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Santos Sierra, Daniel de y Sánchez Jiménez, Abel y García-Vellisca, A. y Navas, Adrian y Villacorta Atienza, Jose A. (2015) Effects of spike anticipation on the spiking dynamics of neural networks. Frontiers in Computational Neuroscience, 9 . pp. 1-10. ISSN ESSN: 1662-5188

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URL Oficial: http://journal.frontiersin.org/article/10.3389/fncom.2015.00144/full



Resumen

Synchronization is one of the central phenomena involved in information processing in living systems. It is known that the nervous system requires the coordinated activity of both local and distant neural populations. Such an interplay allows to merge different information modalities in a whole processing supporting high-level mental skills as understanding, memory, abstraction, etc. Though, the biological processes underlying synchronization in the brain are not fully understood there have been reported a variety of mechanisms supporting different types of synchronization both at theoretical and experimental level. One of the more intriguing of these phenomena is the anticipating synchronization, which has been recently reported in a pair of unidirectionally coupled artificial neurons under simple conditions (Pyragiene and Pyragas, 2013), where the slave neuron is able to anticipate in time the behavior of the master one. In this paper, we explore the effect of spike anticipation over the information processing performed by a neural network at functional and structural level. We show that the introduction of intermediary neurons in the network enhances spike anticipation and analyse how these variations in spike anticipation can significantly change the firing regime of the neural network according to its functional and structural properties. In addition we show that the interspike interval (ISI), one of the main features of the neural response associated with the information coding, can be closely related to spike anticipation by each spike, and how synaptic plasticity can be modulated through that relationship. This study has been performed through numerical simulation of a coupled system of Hindmarsh–Rose neurons.


Tipo de documento:Artículo
Palabras clave:Spike anticipation; Information processing, Neural networks, synchronization, chaotic dynamical systems
Materias:Ciencias Biomédicas > Biología > Biomatemáticas
Código ID:42414
Depositado:28 Abr 2017 08:44
Última Modificación:10 Dic 2018 15:25

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