Wide-field, motion-sensitive neurons and matched filters for optic flow fields
Wide-field, motion-sensitive neurons and matched filters for optic flow fields
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DOI：
10.1007/s004220000163
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发表时间：
2000-09-01
影响因子：
1.9
通讯作者：
Krapp, HG
中科院分区：
文献类型：
--
作者：
Franz, MO;Krapp, HG
果蝇大脑中一类视觉中间神经元（垂直系统，或 VS 神经元）的感受野组织与某些自运动诱导的光流场表现出惊人的相似性。本研究将测量的 VS 神经元的运动敏感性（Krapp 等人，1998）与旋转或平移生成的光流场的匹配滤波器模型进行了比较。该模型最大限度地减少了由不同场景之间的噪声和距离变化引起的滤波器输出的方差。为此，有关距离和自运动统计的先验知识以“世界模型”的形式纳入其中。我们证明了匹配滤波器模型的一个特殊情况能够预测在一些 VS 神经元中观察到的局部运动敏感性。这表明，当在不同情况下发生相同类型的自我运动时，它们的感受野组织使 VS 神经元能够保持一致的输出。
The receptive field organization of a class of visual interneurons in the fly brain (vertical system, or VS neurons) shows a striking similarity to certain self-motion-induced optic flow fields. The present study compares the measured motion sensitivities of the VS neurons (Krapp et al. 1998) to a matched filter model for optic flow fields generated by rotation or translation. The model minimizes the variance of the filter output caused by noise and distance variability between different scenes. To that end, prior knowledge about distance and self-motion statistics is incorporated in the form of a "world model". We show that a special case of the matched filter model is able to predict the local motion sensitivities observed in some VS neurons. This suggests that their receptive field organization enables the VS neurons to maintain a consistent output when the same type of self-motion occurs in different situations.