Daqing Guo (Author), Shengdun Wu (Author), Mingming Chen (Author), Matjaž Perc (Author), Yangsong Zhang (Author), Jingling Ma (Author), Yan Cui (Author), Peng Xu (Author), Yang Xia (Author), Dezhong Yao (Author)

Abstract

The importance of self-feedback autaptic transmission in modulating spike-time irregularity is still poorly understood. By using a biophysical model that incorporates autaptic coupling, we here show that self-innervation of neurons participates in the modulation of irregular neuronal firing, primarily by regulating the occurrence frequency of burst firing. In particular, we find that both excitatory and electrical autapses increase the occurrence of burst firing, thus reducing neuronal firing regularity. In contrast, inhibitory autapses suppress burst firing and therefore tend to improve the regularity of neuronal firing. Importantly, we show that these findings are independent of the firing properties of individual neurons, and as such can be observed for neurons operating in different modes. Our results provide an insightful mechanistic understanding of how different types of autapses shape irregular firing at the single-neuron level, and they highlight the functional importance of autaptic self-innervation in taming and modulating neurodynamics.

Keywords

nevronska dinamika;avtapsa;regulacija;eksitacije;neuronal dynamics;autapse;regulation;excitation;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
UDC: 53
COBISS: 22210568 Link will open in a new window
ISSN: 2045-2322
Views: 839
Downloads: 355
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: nevronska dinamika;avtapsa;regulacija;eksitacije;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. 1-14
Volume: ǂVol. ǂ6
Issue: ǂart. no. ǂ26096
Chronology: 2016
DOI: 10.1038/srep26096
ID: 10844205