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Analysis of Modification in Synaptic Plasticity STDP (Spike Timing Dependent Plasticity) Model by Changing Intracellular Calcium Concentration Shella Aisiyah Diva; Anis Yuniati
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 16 No. 2 (2020)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.2160

Abstract

Synapses are a junction between neurons that has a plastic property. Synaptic plasticity can be in the form of long-term potentiation (LTP) and long-term depression (LTD). The changes in intracellular calcium concentration can trigger LTP and LTD. Spike Timing Dependent Plasticity (STDP) is a modification of synapses that depend on the spike timing of pre-synapses and post-synapses neuron. In this study, we analyze the effects of intracellular calcium on the STDP phenomena based on Badoual’s model using mechanisms involving parameters such as calcium pumping, AMPA receptors, NMDA receptors, LTP enzymes, and LTD enzymes. In this model, a high calcium concentration will activate the LTP enzyme, while a low calcium concentration will activate the LTD enzyme, each of which will trigger the occurrence of LTP and LTD. The existence of LTP and LTD is the basis for the formation of the STDP. In this model, the parameters can be adjusted to obtain the STDP corresponding to experimental results where LTP is observed in the range between 0 < ∆t < 50ms, while LTD is observed at wider intervals between −150ms < ∆t <0. These parameters are related to the decay time of the NMDA receptor.
Determination of Gibbs Free Energy in the Compound Formation of Li-P and Li-Fe-O by Pymatgen Anis Yuniati; Syamsul Andry
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 18 No. 2 (2022)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.3554

Abstract

The Gibbs free energy of the compound formation from a phase diagram based on Python Materials Genomic (Pymatgen) and Application Programming Interface (API) Key had been determined. The compounds shown were stable synthesized from the combination of Li-P and Li-Fe-O atoms. This stability was indicated by the value of the Gibbs free energy of the compounds formation obtained from the phase diagram of each atomic combination. The diagram was created from the integration between Python and the database from the Materials Project via an API Key using Pymatgen. From the research conducted for the combination of Li-P atoms, compounds and the Gibbs free energy of formation shown were Li3 P (-0.697 eV/atom), LiP (-0.523 eV/atom), Li3 P7 (-0.36 eV/atom), and LiP7 (-0.159 eV/atom). For Li-Fe-O combination, the compound and the energy were Li5 FeO4 (-2.117 eV/atom), LiFeO2 (-2.072 eV/atom), LiO2 (-2.067 eV/atom), Li2 FeO2 (-1.979 eV/atom), Li2 FeO3 (-1.965 eV/atom), Fe2 O3 (-1.907 eV/atom), Fe3 O4 (-1.858 eV/atom), FeO (-1.728 eV/atom), Li2 O2 (-1.651 eV/atom), and LiO8 (-0.414 eV/atom). The most stable compound from each formation was the compound with the lowest Gibbs energy, i.e Li3 P and Li5 FeO4.