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海兔尾部退缩回路计算模型中的短期可塑性

Short-Term Plasticity in a Computational Model of the Tail-Withdrawal Circuit in Aplysia.

作者信息

Baxter Douglas A, Byrne John H

机构信息

Department of Neurobiology and Anatomy, The University of Texas Medical School at Houston, Houston, TX 77025.

出版信息

Neurocomputing (Amst). 2007 Jun;70(10-12):1993-1999. doi: 10.1016/j.neucom.2006.10.080.

Abstract

The tail-withdrawal circuit of Aplysia provides a useful model system for investigating synaptic dynamics. Sensory neurons within the circuit manifest several forms of synaptic plasticity. Here, we developed a model of the circuit and investigated the ways in which depression (DEP) and potentiation (POT) contributed to information processing. DEP limited the amount of motor neuron activity that could be elicited by the monosynaptic pathway alone. POT within the monosynaptic pathway did not compensate for DEP. There was, however, a synergistic interaction between POT and the polysynaptic pathway. This synergism extended the dynamic range of the network, and the interplay between DEP and POT made the circuit responded preferentially to long-duration, low-frequency inputs.

摘要

海兔的缩尾反射回路为研究突触动力学提供了一个有用的模型系统。该回路中的感觉神经元表现出多种形式的突触可塑性。在此,我们构建了该回路的模型,并研究了抑制(DEP)和增强(POT)对信息处理的作用方式。DEP限制了仅通过单突触通路所能引发的运动神经元活动量。单突触通路中的POT无法补偿DEP。然而,POT与多突触通路之间存在协同相互作用。这种协同作用扩展了网络的动态范围,并且DEP和POT之间的相互作用使该回路优先对长时间、低频输入做出反应。

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