Resonance-Based Mechanisms of Generation of Relaxation Oscillations in Networks of Non-oscillatory Neurons

Resonance-Based Mechanisms of Generation of Relaxation Oscillations in Networks of Non-oscillatory Neurons
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非振荡神经元网络中基于共振的弛豫振荡产生机制

DOI:
10.1007/978-3-030-25261-8_24
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发表时间:
2019
期刊:
Trends in Mathematics
影响因子:
--
通讯作者:
H. Rotstein
H. Rotstein
中科院分区:
--
文献类型:
--
作者:
A. Bel;H. Rotstein

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我们研究了一个由2D线性(非振荡)谐振器和1D线性细胞组成的最小网络模型,它们与分段线性渐变突触相互抑制。我们证明了该网络可以在一定的参数范围内产生振荡,并且随着相互抑制程度的增加,相应的极限从规则振荡(非松弛类型)逐渐过渡到松弛振荡。
We investigate a minimal network model consisting of a 2D linear (non-oscillatory) resonator and a 1D linear cell, mutually inhibited with piecewise-linear graded synapses. We demonstrate that this network can produce oscillations in certain parameter regimes and the corresponding limit gradually transition from regular oscillations (of non-relaxation type) to relaxation oscillations as the levels of mutual inhibition increase.
DOI: 10.1152/jn.00361.2016
发表时间: 2016-10-01
影响因子: 2.5
作者:
Chen, Yinbo;Li, Xinping;Nadim, Farzan
通讯作者: Nadim, Farzan
DOI: 10.1007/s10827-019-00710-y
发表时间: 2019-04-01
影响因子: 1.2
作者:
Bel, Andrea;Rotstein, Horacio G.
通讯作者: Rotstein, Horacio G.