A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks
المؤلفون المشاركون
Sajedinia, Zahra
Hélie, Sébastien
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-05
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Recent studies in neuroscience show that astrocytes alongside neurons participate in modulating synapses.
It led to the new concept of “tripartite synapse”, which means that a synapse consists of three parts: presynaptic neuron, postsynaptic neuron, and neighboring astrocytes.
However, it is still unclear what role is played by the astrocytes in the tripartite synapse.
Detailed biocomputational modeling may help generate testable hypotheses.
In this article, we aim to study the role of astrocytes in synaptic plasticity by exploring whether tripartite synapses are capable of improving the performance of a neural network.
To achieve this goal, we developed a computational model of astrocytes based on the Izhikevich simple model of neurons.
Next, two neural networks were implemented.
The first network was only composed of neurons and had standard bipartite synapses.
The second network included both neurons and astrocytes and had tripartite synapses.
We used reinforcement learning and tested the networks on categorizing random stimuli.
The results show that tripartite synapses are able to improve the performance of a neural network and lead to higher accuracy in a classification task.
However, the bipartite network was more robust to noise.
This research provides computational evidence to begin elucidating the possible beneficial role of astrocytes in synaptic plasticity and performance of a neural network.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sajedinia, Zahra& Hélie, Sébastien. 2018. A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130670
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sajedinia, Zahra& Hélie, Sébastien. A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130670
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sajedinia, Zahra& Hélie, Sébastien. A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130670
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130670
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر