典型文献
Power-law statistics of synchronous transition in inhibitory neuronal networks
文献摘要：
We investigate the relationship between the synchronous transition and the power law behavior in spiking networks which are composed of inhibitory neurons and balanced by dc current.In the region of the synchronous transition,the avalanche size and duration distribution obey a power law distribution.We demonstrate the robustness of the power law for event sizes at different parameters and multiple time scales.Importantly,the exponent of the event size and duration distribution can satisfy the critical scaling relation.By changing the network structure parameters in the parameter region of transition,quasicriticality is observed,that is,critical exponents depart away from the criticality while still hold approx-imately to a dynamical scaling relation.The results suggest that power law statistics can emerge in networks composed of inhibitory neurons when the networks are balanced by external driving signal.
文献关键词：
中图分类号：
作者姓名：
LeiTao;Sheng-Jun Wang
作者机构：
School of Physics and Information Technology,Shaanxi Normal University,Xi'an 710119,China
文献出处：
引用格式：
[1]LeiTao;Sheng-Jun Wang-.Power-law statistics of synchronous transition in inhibitory neuronal networks)[J].中国物理B（英文版）,2022(08):345-351
A类：
quasicriticality
B类：
Power,law,statistics,synchronous,transition,inhibitory,neuronal,networks,We,investigate,relationship,between,power,behavior,spiking,which,are,composed,neurons,balanced,by,dc,current,In,region,avalanche,duration,distribution,obey,demonstrate,robustness,event,sizes,different,parameters,multiple,scales,Importantly,can,satisfy,scaling,By,changing,structure,observed,that,exponents,depart,away,from,while,still,hold,approx,imately,dynamical,results,suggest,emerge,when,external,driving,signal
AB值：
0.518394
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