Simple recurrent network in real time astrocyte
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 th...
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| Main Authors: | , , |
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| 格式: | Conference or Workshop Item |
| 語言: | English English |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | http://irep.iium.edu.my/44950/1/44950.pdf http://irep.iium.edu.my/44950/4/44950_Simple%20recurrent%20network%20in%20real%20time%20astrocyte_Scopus.pdf http://irep.iium.edu.my/44950/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7276765&tag=1 |
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| 總結: | 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 |
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