Investigation of Factors Affecting Motif-Based Short- and Long-Term Memory Behaviour in Biological Networks

Author:

TURAN AHMET1,KAYIKÇIOĞLU Temel2

Affiliation:

1. Samsun University

2. Karadeniz Technical University

Abstract

Abstract Learning and memory formation in living organisms is an issue under investigation. How learning occurs is not fully understood. Nevertheless, learning and memory are evaluated to correlate with the connective structure between cells. Memory formed in the biological neural network structure is thought to be closely related to cell connections. Biological experiments have been determined connections called motifs, which usually comprise three or four cells and repeat within the network. The connection of these motifs varies as to the status of inter-cellular stimulus. The primary make-up of the biological memory is thought to correlate with such repeated cell connections. For this reason, studies investigate the memory behaviour of the motifs. In this study, some important factors affecting motif-based short- and long-term memory behaviour in biological networks were investigated. For that purpose, the effect of the connection patterns of the motifs on the short- and long-term memory structure was investigated for all three-cell motifs. We used the Hodgkin-Huxley neuron model for cells. Using graph theory, we created three-cell motifs. In the created motifs; The effects of intercellular connection patterns, the type of excitation of cells to each other, and the duration of chemical synaptic stimulation on short- and long-term memory were examined. Based on the data got from the models; We showed that the structure of the motif and the type of stimulus affect directly memory formation in all three-cell motifs. We also showed that the short-term memory duration (in the motif and stimulation conditions) changes with the change of the synaptic stimulation time constant, which models the duration of intercellular communication. At the end of this study, we classified all three-cell motifs for the states that present short- and long-term memory behaviour. We studied the biological events that occur during learning on the model and examined their effects on learning. Consequently, these studies have demonstrated learning about living organisms.

Publisher

Research Square Platform LLC

Reference55 articles.

1. - Milo R, Shen OS, Itzkovitz S, Kashtan N, Chklovskii D, ve Alon U. 2002. Network motifs simple building blocks of complex networks. Science. 298, 824–827.

2. Highly nonrandom features of synaptic connectivity in local cortical circuits;- Song S;PLoS Biol,2005

3. - Kugler H, Dunn SJ, Yordanov B. 2018, “Formal Analysis of Network Motifs”, doi: https://doi.org/10.1101/347500.

4. - Sporns O, ve Kotter R. Motifs in Brain Networks. PLoS Biology; 2004.

5. - Prill RJ, Iglesias PA, ve Levchenko A. Dynamic properties of network motifs contribute to biological network organization. Plos Biology; 2005.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3