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相互抑制模型神经网络中的振荡和频率控制机制。

Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networks.

作者信息

Skinner F K, Kopell N, Marder E

机构信息

Department of Biology, Brandeis University, Waltham, MA 02254-9110, USA.

出版信息

J Comput Neurosci. 1994 Jun;1(1-2):69-87. doi: 10.1007/BF00962719.

Abstract

We describe four different mechanisms that lead to oscillations in a network of two reciprocally inhibitory cells. In two cases (intrinsic release and intrinsic escape) the frequency of the network oscillation is insensitive to the threshold voltage of the synaptic potentials. In the other two cases (synaptic release and synaptic escape) the network frequency is strongly determined by the threshold voltage of the synaptic connections. The distinction between the different mechanisms blurs as the function describing synaptic activation becomes less steep and as the model neurons are removed from the relaxation regime. These mechanisms provide insight into the parameters that control network frequency in motor systems that depend on reciprocal inhibition.

摘要

我们描述了导致两个相互抑制细胞网络发生振荡的四种不同机制。在两种情况下(内在释放和内在逃逸),网络振荡的频率对突触电位的阈值电压不敏感。在另外两种情况下(突触释放和突触逃逸),网络频率强烈地由突触连接的阈值电压决定。随着描述突触激活的函数变得不那么陡峭,以及模型神经元脱离弛豫状态,不同机制之间的区别变得模糊。这些机制为理解依赖于相互抑制的运动系统中控制网络频率的参数提供了见解。

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