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体外二维神经元网络,其特征在于处理由平面微换能器阵列记录的信号。

In vitro 2-D networks of neurons characterized by processing the signals recorded with a planar microtransducer array.

作者信息

Bove M, Grattarola M, Verreschi G

机构信息

Department of Biophysical and Electronic Engineering, University of Genoa, Italy.

出版信息

IEEE Trans Biomed Eng. 1997 Oct;44(10):964-77. doi: 10.1109/10.634649.

Abstract

The purpose of this paper is to extensively analyze and utilize the key features that characterize the recently available electrophysiological technique of growing selected populations of neurons on planar substrate microelectrode arrays. This experimental configuration is first simulated by modeling the signal transduction operated by an array of microtransducers coupled to a network of Hodgkin-Huxley-like neurons, connected to each other with given levels of synaptic strength. Signal processing tools are then described and validated by identifying the various degrees of connectivity previously introduced into the simulated network. Finally, these software tools are utilized to characterize the activity and identify the synaptic connectivity of networks of cultured neurons extracted from dorsal root ganglia (DRG) of chick embryos and exposed to synapse inhibiting/reinforcing ions. As a result, correlations between various regimens of electrophysiological activity and synaptic strength are obtained.

摘要

本文的目的是广泛分析并利用最近可用的在平面基底微电极阵列上培养特定神经元群体的电生理技术的关键特征。首先通过对由耦合到类霍奇金-赫胥黎神经元网络的微换能器阵列操作的信号转导进行建模,来模拟这种实验配置,这些神经元以给定的突触强度水平相互连接。然后通过识别先前引入到模拟网络中的不同连接程度来描述和验证信号处理工具。最后,利用这些软件工具来表征培养的神经元网络的活动,并识别从鸡胚背根神经节(DRG)提取并暴露于突触抑制/增强离子的神经元网络的突触连接性。结果,获得了各种电生理活动方案与突触强度之间的相关性。

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