Abstract
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.
Highlights
The nervous system in insects, animals, and humans has evolved to allow an accurate and versatile information processing adapted to their particular environments
From a conceptual point of view synchronization is the coordinated behavior of several coupled dynamical systems, but this definition is specially natural in the field of neuroscience since it is known that the nervous system requires the coordinated activity of both local and distant neural populations
The main point of this paper is to study spike anticipation as a novel phenomenon that could be taken into account during the study and characterization of information processing in neural networks
Summary
The nervous system in insects, animals, and humans has evolved to allow an accurate and versatile information processing adapted to their particular environments. This interspike interval or ISI is the key to characterize the diverse activity regimes in real neurons and so the variety of information processing in the nervous system (Izhikevich, 2007), subthreshold oscillations have been proposed as a mechanism for coding neural information (Hänggi, 2002; Villacorta-Atienza and Panetsos, 2005) These cellular mechanisms support information processing at network scale, where different functional processes appear to take advantage of the diversity and complexity of connective structures, transmission phenomena (as excitation–inhibition interplay or delay), etc. In this last type of synchronization a driven element in a unidirectionally coupled chaotic system can synchronize its behavior in advance to the activity of the driving element
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