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对调节和聚散线性静态模型的近端贡献。

Proximal contribution to a linear static model of accommodation and vergence.

作者信息

Hung G K, Ciuffreda K J, Rosenfield M

机构信息

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08855-0909, USA.

出版信息

Ophthalmic Physiol Opt. 1996 Jan;16(1):31-41.

PMID:8729564
Abstract

To determine the influence of target proximity on accommodation and vergence under both open- (OL) and closed-loop (CL) viewing conditions, a static interactive feedback model, which included proximal accommodation (PA) and proximal vergence (PV) inputs, was developed and analysed quantitatively. It was based on an earlier static dual-interactive feedback model of accommodation and vergence. The proximal inputs were added to both the accommodative and vergence loops at the output of the respective controllers. The values of the PA and PV gains were obtained from experimental dual-OL data. The model equations were analysed over a stimulus range of 1 to 6 D (or MA). It was found that under the dual-OL condition, the contribution of PA to the overall accommodative output ranged from 42.5 to 81.6%, whereas the contribution of PV to the overall vergence output ranged from 56.1 to 88.5%. In contrast, under all other stimulus conditions, with the exception of the PA contribution to the accommodative output under the Aol, Vcl condition (26.5-41.0%), the relative contributions were much smaller, ranging from 0.04 to approximately 7.0%. In particular, under the dual-CL condition, representing the normal binocular visual feedback condition, the relative contributions were only 4.0 and 0.04% for PA and PV, respectively. Thus, although the relative contributions of PA and PV were large under the dual-OL condition, they were generally very small under the various CL conditions that simulated more naturalistic viewing situations. Nevertheless, proximity may still play an important role by providing cues for attaining coordinated and harmonious motor responses under specific viewing conditions.

摘要

为了确定在开环(OL)和闭环(CL)观察条件下目标距离对调节和聚散的影响,我们开发并定量分析了一个静态交互式反馈模型,该模型包括近端调节(PA)和近端聚散(PV)输入。它基于早期的调节和聚散静态双交互式反馈模型。近端输入分别添加到各自控制器输出处的调节和聚散回路中。PA和PV增益的值从实验双OL数据中获得。在1至6 D(或MA)的刺激范围内分析模型方程。结果发现,在双OL条件下,PA对总调节输出的贡献范围为42.5%至81.6%,而PV对总聚散输出的贡献范围为56.1%至88.5%。相比之下,在所有其他刺激条件下,除了在Aol、Vcl条件下PA对调节输出的贡献(26.5 - 41.0%)外,相对贡献要小得多,范围从0.04%到约7.0%。特别是在代表正常双眼视觉反馈条件的双CL条件下,PA和PV的相对贡献分别仅为4.0%和0.04%。因此,虽然PA和PV的相对贡献在双OL条件下很大,但在模拟更自然观察情况的各种CL条件下,它们通常非常小。然而,在特定观察条件下,距离仍可能通过提供线索来实现协调和谐的运动反应,从而发挥重要作用。

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