A distance constrained synaptic plasticity model of C. elegans neuronal network

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• 作者：Rahul Badhwar^a ; Ganesh Bagler^a ; ^b ; ^c ; ^{bagler@iiitd.ac.in}
• 关键词：Brain model ; C. elegans ; Feed forward motifs ; Synaptic plasticity ; Controllability ; Neuronal network
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：469
• 期：Complete
• 页码：313-322
• 全文大小：1011 K
• 卷排序：469

文摘

A distance constrained synaptic plasticity model of neuronal network is proposed. Model simulates plasticity and distance constraint to reproduce controllability. Long-range synaptic connections are critical to the control of neuronal network. C. elegans neuronal network is wired for optimal long-range synaptic connections The model successfully captures specific driver neurons with high accuracy.