Modeling alternation to synchrony with inhibitory coupling: A neuromorphic VLSI approach
Modeling alternation to synchrony with inhibitory coupling: A neuromorphic VLSI approach
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DOI：
10.1162/089976600300014926
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发表时间：
2000-10-01
影响因子：
2.9
通讯作者：
Cohen, AH
中科院分区：
文献类型：
--
作者：
Cymbalyuk, GS;Patel, GN;Cohen, AH
我们开发了一个模拟非常大规模的集成系统的两个相互抑制的硅神经元，显示几个不同的稳定振荡。例如，振荡可以与弱抑制性偶联同步，并且与相对强的抑制性偶联交替。所有的振荡实验观察到的预测相应的数学模型的分叉分析。同步振荡不需要特殊的突触特性，并且显然足够强大，足以在这个物理系统固有的可变性和约束下生存下来。在振荡神经元网络的生物实验中，抑制性突触耦合的阻断有时会导致同步振荡。这种现象的一个例子是从交替的过渡到同步爆发的游泳中央模式发生器的七鳃鳗时，突触抑制被士的宁阻断。我们的研究结果提出了一个简单的解释七鳃鳗中央模式发生器网络中观察到的振荡过渡：抑制连接本身就足以产生所观察到的过渡。
We developed an analog very large-scale integrated system of two mutually inhibitory silicon neurons that display several different stable oscillations. For example, oscillations can be synchronous with weak inhibitory coupling and alternating with relatively strong inhibitory coupling. All oscillations observed experimentally were predicted by bifurcation analysis of a corresponding mathematical model. The synchronous oscillations do not require special synaptic properties and are apparently robust enough to survive the variability and constraints inherent in this physical system.In biological experiments with oscillatory neuronal networks, blockade of inhibitory synaptic coupling can sometimes lead to synchronous oscillations. An example of this phenomenon is the transition from alternating to synchronous bursting in the swimming central pattern generator of lamprey when synaptic inhibition is blocked by strychnine. Our results suggest a simple explanation for the observed oscillatory transitions in the lamprey central pattern generator network: that inhibitory connectivity alone is sufficient to produce the observed transition.