We find that the information flow due to underlying synaptic connectivity changes direction by changing conductances individually and/or simultaneously as a result of TE analysis through numerical simulations.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Understanding the dynamics of coupled neurons is one of the fundamental problems in the analysis of neuronal model dynamics.
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Temel Bulgular & Veri:The transfer entropy (TE) method is one of the primary analyses to explore the information flow between the neuronal populations.
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Sonuç & Katkı:We find that the information flow due to underlying synaptic connectivity changes direction by changing conductances individually and/or simultaneously as a result of TE analysis through numerical simulations.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Hodgkin-Huxley Network · Parameter Analysis · Transfer Entropy
Abstract
Understanding the dynamics of coupled neurons is one of the fundamental problems in the analysis of neuronal model dynamics. The transfer entropy (TE) method is one of the primary analyses to explore the information flow between the neuronal populations. We perform the TE analysis on the two-neuron conductance-based Hodgkin-Huxley (HH) neuronal network to analyze how their connectivity changes due to conductances. We find that the information flow due to underlying synaptic connectivity changes direction by changing conductances individually and/or simultaneously as a result of TE analysis through numerical simulations.
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