Dynamics of autonomous stochastic resonance in neural period adding bifurcation scenarios
Dynamics of autonomous stochastic resonance in neural period adding bifurcation scenarios
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DOI：
10.1016/j.physleta.2003.09.077
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发表时间：
2003-12-01
影响因子：
2.6
通讯作者：
Ren, W
中科院分区：
文献类型：
--
作者：
Gu, H;Yang, MH;Ren, W
新的放电模式，由两个周期性脉冲串的随机交替，在实验神经起搏器的周期添加分岔方案没有混沌的每个分岔点附近产生，在随机Chay模型中，而不是在确定性模型中。它是两个相邻爆发之间的随机过渡，并表现出近似整数倍的特征。在随机Chay模型中，自治随机共振（ASR）被证实是这种随机交替模式产生的原因。在两条轨道中的临界相附近产生的两个周期性超阈值爆发之间的随机过渡是ASR效应的基础。结果表明，除Hopf分岔点外，ASR可以在一系列周期增加的分岔点中产生，表明噪声在神经编码中的作用比以往认识的更为广泛。(C)2003 Elsevier B.V.保留所有权利。
New firing patterns, composed of a stochastic alternation of two periodic bursts, were generated near each bifurcation point of period adding bifurcation scenario without chaos in the experimental neural pacemaker, in the stochastic Chay model but not in the deterministic model. It was a stochastic transition between two neighboring bursting and exhibited approximate integer multiple characteristics. Autonomous stochastic resonance (ASR) was verified to be the cause of the generation of this stochastic alternation pattern in the stochastic Chay model. The stochastic transition between two periodic superthreshold bursts generated near a critical phase in the two trajectories was the underlying basis of the effect of ASR. The results showed that except the Hopf bifurcation point, ASR could be generated in a series of period adding bifurcation points, and indicated that noise played more extensive roles in neural coding than recognized before. (C) 2003 Elsevier B.V. All rights reserved.