Excitement and Synchronization of Small-World Neuronal Networks With Short-Term Synaptic Plasticity

Abstract

Excitement and synchronization of electrically and chemically coupled Newman-Watts (NW) small-world neuronal networks with a short-term synaptic plasticity described by a modified Oja learning rule are investigated. For each type of neuronal network, the variation properties of synaptic weights are examined first. Then the effects of the learning rate, the coupling strength and the shortcut-adding probability on excitement and synchronization of the neuronal network are studied. It is shown that the synaptic learning suppresses the over-excitement, helps synchronization for the electrically coupled network but impairs synchronization for the chemically coupled one. Both the introduction of shortcuts and the increase of the coupling strength improve synchronization and they are helpful in increasing the excitement for the chemically coupled network, but have little effect on the excitement of the electrically coupled one.

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Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity

“…The key to encode memory in a bio-neural network is to exploit its ability of changing the synaptic weights (Zeng et al, 2001), which is also known as synaptic plasticity. In fact, synaptic plasticity is widely believed to be essential for creating the memory and learning ability of the brain (Hebb, 1949; Bi and Poo, 1998; Song et al, 2000; Han et al, 2011; Ramanathan et al, 2012; Carrillo-Reid et al, 2015). …”

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