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: Abdul-Rahman Abed, Bassam, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah
Format: Conference or Workshop Item
Language:English
English
Published: 2015
Subjects:
Online Access:http://irep.iium.edu.my/44950/
http://irep.iium.edu.my/44950/
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
id iium-44950
recordtype eprints
spelling iium-449502017-09-25T03:03:01Z http://irep.iium.edu.my/44950/ Simple recurrent network in real time astrocyte Abdul-Rahman Abed, Bassam Ismail, Amelia Ritahani Abdul Aziz, Normaziah QA76 Computer software 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 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/44950/1/44950.pdf application/pdf en http://irep.iium.edu.my/44950/4/44950_Simple%20recurrent%20network%20in%20real%20time%20astrocyte_Scopus.pdf Abdul-Rahman Abed, Bassam and Ismail, Amelia Ritahani and Abdul Aziz, Normaziah (2015) Simple recurrent network in real time astrocyte. In: 2015 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2nd-4th Sept. 2015, Madrid, Spain. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7276765&tag=1
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Abdul-Rahman Abed, Bassam
Ismail, Amelia Ritahani
Abdul Aziz, Normaziah
Simple recurrent network in real time astrocyte
description 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
format Conference or Workshop Item
author Abdul-Rahman Abed, Bassam
Ismail, Amelia Ritahani
Abdul Aziz, Normaziah
author_facet Abdul-Rahman Abed, Bassam
Ismail, Amelia Ritahani
Abdul Aziz, Normaziah
author_sort Abdul-Rahman Abed, Bassam
title Simple recurrent network in real time astrocyte
title_short Simple recurrent network in real time astrocyte
title_full Simple recurrent network in real time astrocyte
title_fullStr Simple recurrent network in real time astrocyte
title_full_unstemmed Simple recurrent network in real time astrocyte
title_sort simple recurrent network in real time astrocyte
publishDate 2015
url http://irep.iium.edu.my/44950/
http://irep.iium.edu.my/44950/
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
first_indexed 2023-09-18T21:03:55Z
last_indexed 2023-09-18T21:03:55Z
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