A computational model of the growth of dendritic spines with synaptic plasticity

被引：0
|
作者：
Elibol, Rahmi [1 ,2 ]
机构：
[1] Middle East Tech Univ, Grad Sch Informat, Ankara, Turkiye
[2] Erzincan Univ, Fac Engn, Erzincan, Turkey
来源：
2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2022年
关键词：
dendritic spines; plasticity; synapse; SPIKING NEURAL-NETWORKS; BASAL GANGLIA; NEURONS;
D O I：
10.1109/SIU55565.2022.9864973
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The spines on the dendrites of neurons have many biophysical functions such as increasing the surface area of the dendrites and increasing the input resistance of neuron. It is known that synaptic plasticity is effective in the formation and growth of spines. In this work, a computational model of growth of dendritic spines due to synaptic plasticity is presented. The proposed model is built with spiking neural networks and synaptic dynamics. In the model, the change of synaptic weights is achieved with synaptic plasticity, and the growth of dendritic spines can be demonstrated by using this change.
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页数：4
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