Spatiotemporal activities of a pulse-coupled biological neural network

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Abstract

The present work is on the spatiotemporal activities and effects of chaotic neurons in a pulse-coupled biological neural network. The biological neural network used is that of Caenorhabditis elegans. Because of its similarity to human neural network, it can be used to understand the simple dynamics of human brain. Within the network the neurons are found to exhibit chaotic nature, even though their parameters are that of normal neurons. It is observed that when the strength of synaptic conductance is increased, initially the bursting synchronization, entropy of the network and the average firing rate decrease slightly and then increase. Since chaotic dynamics of neuron plays an important role in human brain functions, the neurons of the network are intentionally made chaotic and the dynamics is studied. As the neurons of the network are made chaotic, ‘near-death’-like surges of neuron activity before ending firing is observed throughout the network. Also, the brain dynamics changes from alert to rest state. When most of the neurons of the network are made chaotic, their activities become independent of the coupling strength.

Keywords

Biological neural network Chaotic neurons Near-death surges Average firing rate Entropy Bursting synchronization 

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of PhysicsSt. Teresa’s collegeErnakulamIndia

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