Lappe M
Department of General Zoology and Neurobiology, Ruhr-University-Bochum, Germany.
Neural Comput. 1996 Oct 1;8(7):1449-61. doi: 10.1162/neco.1996.8.7.1449.
Experimental evidence from neurophysiological recordings in the middle temporal (MT) area of the macaque monkey suggests that motion-selective cells can use disparity information to separate motion signals that originate from different depths. This finding of a cross-talk between different visual channels has implications for the understanding of the processing of motion in the primate visual system and especially for behavioral tasks requiring the determination of global motion. In this paper, the consequences for the analysis of optic flow fields are explored. A network model is presented that effectively uses the disparity sensitivity of MT-like neurons for the reduction of noise in optic flow fields. Simulations reproduce the recent psychophysical finding that the robustness of the human optic flow processing system is improved by stereoscopic depth information, but that the use of this information depends on the structure of the visual environment.
来自猕猴颞中区（MT）神经生理学记录的实验证据表明，运动选择性细胞可以利用视差信息来分离源自不同深度的运动信号。这一不同视觉通道之间存在相互作用的发现，对于理解灵长类视觉系统中的运动处理，尤其是对于需要确定全局运动的行为任务具有重要意义。在本文中，我们探讨了对视流场分析的影响。提出了一种网络模型，该模型有效地利用类MT神经元的视差敏感性来降低视流场中的噪声。模拟结果重现了最近的心理物理学发现，即立体深度信息可提高人类视流处理系统的稳健性，但该信息的使用取决于视觉环境的结构。
