Academic Journal

The Energy Coding of a Structural Neural Network Based on the Hodgkin–Huxley Model

التفاصيل البيبلوغرافية
العنوان: The Energy Coding of a Structural Neural Network Based on the Hodgkin–Huxley Model
المؤلفون: Zhenyu Zhu, Rubin Wang, Fengyun Zhu
المصدر: Frontiers in Neuroscience, Vol 12 (2018)
بيانات النشر: Frontiers Media S.A., 2018.
سنة النشر: 2018
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: neural energy coding, energy distribution, synchronous oscillation, negative energy, power consumption curve, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: Based on the Hodgkin-Huxley model, the present study established a fully connected structural neural network to simulate the neural activity and energy consumption of the network by neural energy coding theory. The numerical simulation result showed that the periodicity of the network energy distribution was positively correlated to the number of neurons and coupling strength, but negatively correlated to signal transmitting delay. Moreover, a relationship was established between the energy distribution feature and the synchronous oscillation of the neural network, which showed that when the proportion of negative energy in power consumption curve was high, the synchronous oscillation of the neural network was apparent. In addition, comparison with the simulation result of structural neural network based on the Wang-Zhang biophysical model of neurons showed that both models were essentially consistent.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1662-453X
Relation: http://journal.frontiersin.org/article/10.3389/fnins.2018.00122/full; https://doaj.org/toc/1662-453X
DOI: 10.3389/fnins.2018.00122
URL الوصول: https://doaj.org/article/d8e61c882a4b4944aa51988b0088bc5c
رقم الانضمام: edsdoj.8e61c882a4b4944aa51988b0088bc5c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1662453X
DOI:10.3389/fnins.2018.00122