Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Impact of Astrocytic Coverage of Synapses on the Short-term Memory of a Computational Neuron-Astrocyte Network

Version 1 : Received: 5 August 2022 / Approved: 9 August 2022 / Online: 9 August 2022 (04:04:31 CEST)

A peer-reviewed article of this Preprint also exists.

Li, Z.; Tsybina, Y.; Gordleeva, S.; Zaikin, A. Impact of Astrocytic Coverage of Synapses on the Short-Term Memory of a Computational Neuron-Astrocyte Network. Mathematics 2022, 10, 3275. Li, Z.; Tsybina, Y.; Gordleeva, S.; Zaikin, A. Impact of Astrocytic Coverage of Synapses on the Short-Term Memory of a Computational Neuron-Astrocyte Network. Mathematics 2022, 10, 3275.

Journal reference: Mathematics 2022, 10, 3275
DOI: 10.3390/math10183275

Abstract

Working memory refers to the capability of the nervous system to selectively retain short-term memories in an active state. The long-standing viewpoint is that neurons play an indispensable role and working memory is encoded by synaptic plasticity. Furthermore, some recent studies have shown that calcium signaling assists the memory processes and the working memory might be affected by the astrocyte density. Over the last few decades, growing evidence has also revealed that astrocytes exhibit diverse coverage of synapses which are considered to participate in neuronal activities. However, very little effort has yet been made to attempt to shed light on the potential correlations between these observations. Hence, in this article we will leverage a computational neuron-astrocyte model to study the short-term memory performance subject to various astrocytic coverage and we will demonstrate that the short-term memory is susceptible to this factor. Our model may also provide plausible hypotheses for the various sizes of calcium events as they are reckoned to be correlated with the astrocytic coverage.

Keywords

neuron; astrocyte; network; short-term memory; spatial frequency; computational biology

Subject

MATHEMATICS & COMPUTER SCIENCE, Applied Mathematics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.

We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.