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昆虫和脊椎动物对有纹理背景前小物体的追踪:现象与神经基础

Tracking of small objects in front of a textured background by insects and vertebrates: phenomena and neuronal basis.

作者信息

Kirschfeld K

机构信息

Max-Planck-Institut für biologische Kybernetik, Tübingen, Germany.

出版信息

Biol Cybern. 1994;70(5):407-15. doi: 10.1007/BF00203233.

DOI:10.1007/BF00203233
PMID:8186301
Abstract

To follow visually a small object moving in front of a textured background, insects and vertebrates can employ a similar strategy: saccadic tracking. In the case of vertebrates, the neural components that generate this behavior are not known in detail. The neural substrate of optomotor behavior in Diptera is relatively well understood. Here a model developed from the dipteran data is found to be capable of saccadic tracking. It is characterized by the following components and functions: (1) Two subsystems contribute to the response, a small-field tracking system and a large-field compensatory optomotor system, as suggested previously (Egelhaaf et al. 1988). (2) Both systems need to be suppressed during saccadic rotation. In the small-field system, the suppression, close to the visual input, is mediated by the activity of the large-field system. In the large-field system, suppression, close to the motor output, is due to efferent signals from the saccade generator. A similar model could also apply to vertebrates. Two implications of the present model are that saccadic tracking does not require object identification, and under saccadic tracking it is the background rather than the object that is stabilized on the retina. If objects are identified under these conditions, this must occur even though their image is not stabilized on the retina.

摘要

为了视觉上追踪在有纹理背景前移动的小物体,昆虫和脊椎动物可以采用类似的策略:扫视跟踪。就脊椎动物而言,产生这种行为的神经组件还不清楚。双翅目动物视动行为的神经基础相对了解得较好。这里发现,基于双翅目动物数据开发的一个模型能够进行扫视跟踪。它具有以下组件和功能:(1)如之前所表明的(埃格尔哈夫等人,1988年),两个子系统对反应有贡献,一个小视野跟踪系统和一个大视野补偿视动系统。(2)在扫视旋转期间,两个系统都需要被抑制。在小视野系统中,靠近视觉输入处的抑制是由大视野系统的活动介导的。在大视野系统中,靠近运动输出处的抑制是由于来自扫视发生器的传出信号。一个类似的模型也可能适用于脊椎动物。本模型的两个含义是,扫视跟踪不需要物体识别,并且在扫视跟踪下,在视网膜上稳定的是背景而不是物体。如果在这些条件下识别出物体,那么即使它们的图像在视网膜上没有稳定,也必定会发生识别。

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