概率逻辑
人工神经网络
计算机科学
尖峰神经网络
概率神经网络
神经科学
人工智能
心理学
时滞神经网络
作者
Bassam Abdul-Rahman Abed,Belal Ayyoub,Amelia Ritahani Ismail,Normaziah Abdul Aziz,Mazen A. Hamdan
出处
期刊:International journal of advanced trends in computer science and engineering
[The World Academy of Research in Science and Engineering]
日期:2020-10-15
卷期号:9 (5): 7951-7957
被引量:1
标识
DOI:10.30534/ijatcse/2020/149952020
摘要
Astrocytes, the predominant glial cell type in the brain, were traditionallyconsidered as merely passive supportive cells without any important roles in synaptic information processing. In contrast, the contemporary view was given rise to show that astrocytes play active roles in synaptic neurotransmissionand information processing. Hence, recently two terms have been emerged, tripartite synapse, to describe the communication between an astrocyte and two neurons, and the term astrocytic syncytium or astrocytic network to describe the communication among the astrocytesby gap junction. Therefore, we propose mathematical models for tripartite synapseand astrocytic syncytium basedontwo-state kinetics models, several probabilistic methods and Spiking Neural Network (SNN) to introducenew Artificial Astrocytic Syncytium (AAS) model. The simulation results have shown that proposed model could represent the cellular intrinsic properties of astrocyte based on the spatial and temporal aspects to emulate the astrocytic network functions related to cognitive, learning and memory.
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