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Journal Article

Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses

Authors

Protachevicz,  Paulo R.
External Organizations;

Iarosz,  Kelly C.
External Organizations;

Caldas,  Iberê L.
External Organizations;

Antonopoulos,  Chris G.
External Organizations;

Batista,  Antonio M.
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Fulltext (public)

Protachevicz_fnsys-14-604563.pdf
(Publisher version), 3MB

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Citation

Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Antonopoulos, C. G., Batista, A. M., Kurths, J. (2020): Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses. - Frontiers in Systems Neuroscience, 14, 604563.
https://doi.org/10.3389/fnsys.2020.604563


Cite as: https://publications.pik-potsdam.de/pubman/item/item_25095
Abstract
A great deal of research has been devoted on the investigation of neural dynamics in various network topologies. However, only a few studies have focused on the influence of autapses, synapses from a neuron onto itself via closed loops, on neural synchronization. Here, we build a random network with adaptive exponential integrate-and-fire neurons coupled with chemical synapses, equipped with autapses, to study the effect of the latter on synchronous behavior. We consider time delay in the conductance of the pre-synaptic neuron for excitatory and inhibitory connections. Interestingly, in neural networks consisting of both excitatory and inhibitory neurons, we uncover that synchronous behavior depends on their synapse type. Our results provide evidence on the synchronous and desynchronous activities that emerge in random neural networks with chemical, inhibitory and excitatory synapses where neurons are equipped with autapses.