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提出一种基于动态突触的风上神经模型。

Presenting a Neuroid model of wind-up based on dynamic synapse.

机构信息

Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Institute for Cognitive & Brain Sciences (ICBS), Department of Cognitive Modeling and Cognitive Rehabilitation, Shahid Beheshti University, Basir Eye Health Research Center, Tehran, Iran.

出版信息

J Theor Biol. 2019 Mar 21;465:45-50. doi: 10.1016/j.jtbi.2019.01.018. Epub 2019 Jan 11.

Abstract

The treatment of chronic pain depends mainly on our understanding of the mechanisms such as central sensitization which is involved in it. Wind-up of spinal cord is one of the most important phenomena in the study of central sensitization which has received considerable attention in recent years. Wind-up is a form of short-term synaptic plasticity (STP) that can lead to central sensitivity. Although several models have been proposed for wind-up, none of them are based on the experimental evidence. In this study, a new network model is introduced according to the gate control theory of pain. Neuroids are used as neuron models in which their parameters are captured from available experimental data. Adjusting the weights of the network is based on the short-term synaptic plasticity. The results of the time and frequency domain show that the model can well simulate wind-up behavior. This model can be used for analyzing, predicting and controlling chronic pain in the future.

摘要

慢性疼痛的治疗主要取决于我们对其中涉及的中枢敏化等机制的理解。脊髓的上旋是中枢敏化研究中最重要的现象之一,近年来受到了相当多的关注。上旋是一种短期突触可塑性(STP)形式,可导致中枢敏感性。尽管已经提出了几种模型,但没有一种是基于实验证据的。在这项研究中,根据疼痛的门控理论引入了一种新的网络模型。神经元被用作神经元模型,其参数是从现有实验数据中捕获的。调整网络的权重基于短期突触可塑性。时频域的结果表明,该模型可以很好地模拟上旋行为。该模型可用于未来分析、预测和控制慢性疼痛。

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