Self-organized collective oscillations in networks of stochastic spiking neurons

被引:1
|
作者
Chen, Lei [1 ]
Yu, Chaojun [1 ]
Zhai, Jian [1 ]
机构
[1] Zhejiang Univ, Sch Math Sci, Hangzhou 310058, Peoples R China
关键词
AVALANCHES; DYNAMICS;
D O I
10.1063/5.0130075
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The theory of self-organized bistability (SOB) is the counterpart of self-organized criticality for systems tuning themselves to the edge of bistability of a discontinuous phase transition, rather than to the critical point of a continuous one. As far as we are concerned, there are currently few neural network models that display SOB or rather its non-conservative version, self-organized collective oscillations (SOCO). We show that by slightly modifying the firing function, a stochastic excitatory/inhibitory network model can display SOCO behaviors, thus providing some insights into how SOCO behaviors can be generated in neural network models.
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页数:10
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