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3D Modeling of Dendritic Spines with Synaptic Plasticity
Published on: May 18, 2020
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How synaptic plasticity influences spike synchronization and its transitions in complex neuronal network
ZhiLin Yao1, XiaoLi Yang1, ZhongKui Sun2
1College of Mathematics and Information Science, Shaanxi Normal University, Xi'an 710062, People's Republic of China.
Chaos (Woodbury, N.Y.)
|September 6, 2018
Summary
Synaptic plasticity, modeled by a modified Oja learning rule, disrupts spike synchronization in neuronal networks. Increasing the synapse learning rate reduces synchronization and intermittent transitions, especially in small-world networks.
Area of Science:
- Computational neuroscience
- Network science
- Complex systems
Background:
- Synaptic plasticity is crucial for neuronal function.
- Neuronal networks exhibit complex dynamics like spike synchronization.
- Small-world networks balance local and global connectivity.
Purpose of the Study:
- To investigate the impact of synaptic plasticity on spike synchronization.
- To analyze the effect of synapse learning rate on synchronization transitions.
- To explore network properties influencing synchronization in a Newman-Watts small-world network.
Main Methods:
- Modeling individual neuron dynamics using the Rulkov map.
- Implementing a modified Oja learning rule for synaptic plasticity.
- Simulating a Newman-Watts small-world neuronal network with varying parameters.
Main Results:
- Large coupling promotes spatiotemporally synchronous spiking.
- Information transmission delay can induce intermittent synchronization.
- Synaptic plasticity, via increased learning rate, degrades spike synchronization and its intermittent transitions.
- Network size has minimal impact on synchronization.
- Shortcut probability facilitates synchronization but hinders delay-induced transitions.
Conclusions:
- Synaptic plasticity plays a significant role in modulating spike synchronization.
- The synapse learning rate is a critical factor in controlling synchronization patterns.
- Network topology, specifically shortcut probability, influences synchronization dynamics.
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