Simple recurrent network in real time astrocyte

Bassam Abdul-Rahman Abed, A. R. Ismail, Normaziah Abdul Aziz
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Abstract

In this paper we propose simple recurrent network (SRN) and mathematical paradigm to model real time interaction of astrocyte in simplified spiking neural network (SRM0). Both Elman neural network and Jordan neural network are used in the proposed network. Elman neural network is connected to the synapse and Jordan neural network is connected to the postsynaptic neuron in tripartite synapse, the simulation results showed that whenever astrocytes were activating in a time window, more spikes will be fired for excitatory neurons. This is biologically justified since astrocytes induce excitability with variations in Ca2+ concentrations.
星形胶质细胞实时简单循环网络
本文提出了简单循环网络(SRN)和数学范式来模拟星形胶质细胞在简化尖峰神经网络(SRM0)中的实时相互作用。该网络同时使用了Elman神经网络和Jordan神经网络。Elman神经网络连接到突触,Jordan神经网络连接到三方突触的突触后神经元,模拟结果表明,每当星形胶质细胞在一个时间窗口内激活时,兴奋性神经元就会发射更多的尖峰。这在生物学上是合理的,因为星形胶质细胞诱导Ca2+浓度变化的兴奋性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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