典型文献
Less is more:wiring-economical modular networks support self-sustained firing-economical neural avalanches for efficient processing
文献摘要：
The brain network is notably cost-efficient,while the fundamental physical and dynamic mechanisms underlying its economical optimization in network structure and activity have not been determined.In this study,we investigate the intricate cost-efficient interplay between structure and dynamics in biologically plausible spatial modular neuronal network models.We observe that critical avalanche states from excitation-inhibition balance under modular network topology with less wiring cost can also achieve lower costs in firing but with strongly enhanced response sensitivity to stimuli.We derive mean-field equations that govern the macroscopic network dynamics through a novel approximate theory.The mechanism of low firing cost and stronger response in the form of critical avalanches is explained as a proximity to a Hopf bifurcation of the modules when increasing their connection density.Our work reveals the generic mechanism underlying the cost-efficient modular organization and critical dynamics widely observed in neural systems,providing insights into brain-inspired efficient computational designs.
文献关键词：
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作者姓名：
Junhao Liang;Sheng-Jun Wang;Changsong Zhou
作者机构：
Department of Physics,Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems(Hong Kong),Institute of Computational and Theoretical Studies,Hong Kong Baptist University,Hong Kong,China;Department of Physics,Shaanxi Normal University,Xi'An 710119,China;Department of Physics,Zhejiang University,Hangzhou 310027,China;Beijing Computational Science Research Center,Beijing 100193,China
文献出处：
引用格式：
[1]Junhao Liang;Sheng-Jun Wang;Changsong Zhou-.Less is more:wiring-economical modular networks support self-sustained firing-economical neural avalanches for efficient processing)[J].国家科学评论（英文版）,2022(03):15-27
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AB值：
0.624953
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