PEMODELAN INTERAKSI NEURON-ASTROCYTE PADA JARINGAN SARAF

Itsnainiyah Hafizhoh, NIM.: 16620030 (2020) PEMODELAN INTERAKSI NEURON-ASTROCYTE PADA JARINGAN SARAF. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Neuron-astrocyte interaction modeling in neural networks has been carried out. The neuron model used is Integrate and Fire, while the astrocyte network model is defined by the Li-Rinzel equation, which involves the IP3Rs (q) activation fraction that affects the value of calcium concentration in astrocytes. The modeling of the interaction between neuron networks and astrocytes involves four types of connections, that are connections between neurons connected by synapses, connections between astrocytes in the form of gap-junction channels (GJCs), synaptic connections to astrocytes, and astrocyte connections to synapses. The synaptic connection to the astrocytes is built to trigger the activation of the astrocytes by releasing the neurotransmitter. The astrocyte connection to the synapses is established as a route for the production of the gliotransmitter. Variations in external currents are given in the model to observe the differences in synchronization of firing activity of neural networks. Modeling was done using Brian 2 simulator. Modeling results show that the IP3Rs (q) activation fraction can affect the propagation of calcium waves in astrocytes through activation of IP3 receptors. In this model, it can be shown that the information transfer mechanism by neurons is in the form of electric current wave propagation, while the information transfer by astrocyte is in the form of calcium wave propagation.

Item Type: Thesis (Skripsi)
Additional Information: Pembimbing : Anis Yuniati, Ph. D
Uncontrolled Keywords: Neuron, Astrocyte, Integrated-and-Fire, Li-Rinzel, Gliotransmitter, Gap-Junction Channels, Simulator Brian2
Subjects: Fisika
Divisions: Fakultas Sains dan Teknologi > Fisika (S1)
Depositing User: H. Latief, SIP
Date Deposited: 10 Aug 2021 09:59
Last Modified: 10 Aug 2021 09:59
URI: http://digilib.uin-suka.ac.id/id/eprint/43261

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