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基于逆方法的扫视神经控制信号重建

Reconstruction of neural control signals for saccades based on an inverse method.

作者信息

Van Opstal A J, Van Gisbergen J A, Eggermont J J

出版信息

Vision Res. 1985;25(6):789-801. doi: 10.1016/0042-6989(85)90187-7.

DOI:10.1016/0042-6989(85)90187-7
PMID:4024477
Abstract

The failure to obtain realistic saccadic velocity profiles, in earlier simulation studies using a linear oculomotor plant model and a stylized pulse-step input, has led to the development of quite complex plant models. The stylized-input assumption has later been shown to be unrealistic: it is known now that the pulse has a smooth shape in which the decay period is longer than the rising edge. To explore the applicability of linear models without imposing a priori constraints on the shape of the control signal, we have used Fourier deconvolution for reconstructing the neural-control signal. From the results obtained with this inverse method, we conclude that it is not necessary to use a complicated model in order to obtain realistic saccade velocity profiles. Furthermore, the results illustrate clearly that a second order linear plant model necessitates active braking at the input in order to explain the occurrence of short-lasting saccades.

摘要

在早期使用线性眼球运动系统模型和程式化脉冲-阶跃输入的模拟研究中,未能获得实际的扫视速度曲线,这导致了相当复杂的系统模型的发展。后来发现程式化输入的假设是不现实的:现在已知脉冲具有平滑的形状,其中衰减期比上升沿更长。为了在不对控制信号形状施加先验约束的情况下探索线性模型的适用性,我们使用傅里叶反卷积来重建神经控制信号。根据这种反演方法获得的结果,我们得出结论,为了获得实际的扫视速度曲线,没有必要使用复杂的模型。此外,结果清楚地表明,二阶线性系统模型需要在输入端进行主动制动,以解释短暂扫视的出现。

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Reconstruction of neural control signals for saccades based on an inverse method.基于逆方法的扫视神经控制信号重建
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