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首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation
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Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation

机译:通过网络模型模拟估算秒橄榄神经元估算下橄榄神经元的差距和抑制作用的逆问题

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摘要

The inferior olive (10) possesses synaptic glomeruli, which contain dendritic spines from neighboring neurons and presynaptic terminals, many of which are inhibitory and GABAergic. Gap junctions between the spines electrically couple neighboring neurons whereas the GABAergic synaptic terminals are thought to act to decrease the effectiveness of this coupling. Thus, the glomeruli are thought to be important for determining the oscillatory and synchronized activity displayed by 10 neurons. Indeed, the tendency to display such activity patterns is enhanced or reduced by the local administration of the GABA-A receptor blocker picrotoxin (FIX) or the gap junction blocker carbenoxolone (CBX), respectively. We studied the functional roles of the glomeruli by solving the inverse problem of estimating the inhibitory (g(i)) and gap-junctional conductance (g(c)) using an 10 network model. This model was built upon a prior 10 network model, in which the individual neurons consisted of soma and dendritic compartments, by adding a glomerular compartment comprising electrically coupled spines that received inhibitory synapses. The model was used in the forward mode to simulate spike data under PIX and CBX conditions for comparison with experimental data consisting of multi-electrode recordings of complex spikes from arrays of Purkinje cells (complex spikes are generated in a one-to-one manner by 10 spikes and thus can substitute for directly measuring 10 spike activity). The spatiotemporal firing dynamics of the experimental and simulation spike data were evaluated as feature vectors, including firing rates, local variation, auto-correlogram, cross-correlogram, and minimal distance, and were contracted onto two-dimensional principal component analysis (PCA) space. g and gi were determined as the solution to the inverse problem such that the simulation and experimental spike data were closely matched in the PCA space. The goodness of the match was confirmed by an analysis of variance (ANOVA) of the PCA scores between the experimental and simulation spike data. In the PIX condition, gi was found to decrease to approximately half its control value. CBX caused an approximately 30% decrease in g from control levels. These results support the hypothesis that the glomeruli are control points for determining the spatiotemporal characteristics of olivocerebellar activity and thus may shape its ability to convey signals to the cerebellum that may be used for motor learning or motor control purposes. (C) 2013 Elsevier Ltd. All rights reserved.
机译:下橄榄(10)具有突触肾小球,其含有来自邻近神经元和突触前末端的树突刺,其中许多是抑制和加巴的。脊柱之间的间隙连接电耦合邻近神经元,而Gabaergic突触终端被认为是为了降低该偶联的有效性。因此,肾小球被认为对于确定10个神经元显示的振荡和同步活动是重要的。实际上,通过局部施用GABA-A受体阻滞剂微微毒素(FIX)或间隙结阻滞碳氧酮(CBX),增强或减少了显示这种活性模式的趋势。我们通过求解使用10个网络模型来求解估计抑制(g(i))和间隙 - 结的差距(g(c))的逆问题来研究肾小球的功能作用。该模型是基于先前的10个网络模型,其中通过添加包括接受抑制突触的电耦合刺的肾小球隔室,由SOMA和树突舱组成的各个神经元。该模型用于前进模式,以模拟PIX和CBX条件下的尖峰数据,用于与来自浦羽细胞阵列的复杂尖峰的多电极记录组成的实验数据(复杂尖峰以一对一的方式产生10个尖峰,因此可以替代直接测量10秒峰值活动)。实验和模拟尖峰数据的时空射击动态被评估为特征向量,包括射击率,局部变化,自动相关图,交叉相关图和最小距离,并与二维主成分分析(PCA)空间收缩。 G和Gi被确定为逆问题的解决方案,使得模拟和实验尖峰数据在PCA空间中与其紧密匹配。通过对实验和模拟尖峰数据之间的PCA分数的差异(ANOVA)分析来确认匹配的良好。在PIX条件下,发现GI减小到其控制值的大约一半。 CBX从控制水平引起大约30%的G降低。这些结果支持肾小球是用于测定olivocerebellar活性的时空特性的肾小球的假设,因此可以塑造其传送到可用于电动机学习或电机控制目的的小脑信号的能力。 (c)2013 Elsevier Ltd.保留所有权利。

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