Literature DB >> 23500500

Key role of voltage-dependent properties of synaptic currents in robust network synchronization.

Z Wang1, W K Wong.   

Abstract

Robust synchronized activity is ubiquitous in real neural networks. Diverse synaptic properties contribute to such robust synchronization. Synaptic current induced by an input spike is dependent on the voltage of post-synaptic neuron in real neural systems. Current-based synapse models, which neglect the voltage-dependent properties of synaptic currents, are widely used for analysis of robust synchronization in neural networks due to their simplicity. However, it was found in this paper that the voltage-dependent properties of synaptic currents play a key role in robust network synchronization in most cases, implying that current-based synapses are oversimplified for analysis of robust network synchronization.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23500500     DOI: 10.1016/j.neunet.2013.01.024

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  3 in total

1.  A new regime for highly robust gamma oscillation with co-exist of accurate and weak synchronization in excitatory-inhibitory networks.

Authors:  Zhijie Wang; Hong Fan; Fang Han
Journal:  Cogn Neurodyn       Date:  2014-05-08       Impact factor: 5.082

2.  Synchronization and stochastic resonance of the small-world neural network based on the CPG.

Authors:  Qiang Lu; Juan Tian
Journal:  Cogn Neurodyn       Date:  2013-11-13       Impact factor: 5.082

3.  High-Frequency Synchronization Improves Firing Rate Contrast and Information Transmission Efficiency in E/I Neuronal Networks.

Authors:  Fang Han; Zhijie Wang; Hong Fan; Yaopeng Zhang
Journal:  Neural Plast       Date:  2020-11-09       Impact factor: 3.599

  3 in total

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