The power law statistics of the spiking timing in a neuronal network

Chenggui Yao, JianQiang Sun, Jun Jin, Jianwei Shuai, Xiang Li, Yuangen Yao and Xufan Xu

Chaos, Solitons & Fractals, 2023, vol. 172, issue C

Abstract: Information encoding and decoding by neurons is a fundamental process in neuroscience. Herein, we present a statistical investigation of the first spike timing arising from the neuronal population in a small-world network with the Hodgkin–Huxley model after a neuron has received current stimulation, including a transient or a continuous stimulus. Regardless of how the interaction between neurons in the network was implemented, via electrical coupling or chemical synapses, we found the same power-law statistics for the first spike timing, independent of the topological structure of the neuronal network. We further suggest that such power-law statistics can be a generalized feature for the first spike timing in the small-world and scale-free neuronal networks. Our findings provide new insight into the coding mechanism for the first spike timing and improve the understanding of the power-law behavior in nature.

Keywords: Neurodynamics; Signal transmission; Small world; Electrical synapse and chemical synapse (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007792300499X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:172:y:2023:i:c:s096007792300499x

DOI: 10.1016/j.chaos.2023.113598

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().