Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Llorens i Artigas 4-6, 08028 Barcelona, Spain.
Neural Netw. 2013 Oct;46:32-9. doi: 10.1016/j.neunet.2013.04.007. Epub 2013 Apr 25.
Humans have no problem segmenting different motion stimuli despite the ambiguity of local motion signals. Adaptive surround modulation, i.e., the apparent switching between integrative and antagonistic modes, is assumed to play a crucial role in this process. However, so far motion processing models based on local integration have not been able to provide a unifying explanation for this phenomenon. This motivated us to investigate the problem of local stimulus disambiguation in an alternative and fundamentally distinct motion-processing model which uses global motion filters for velocity computation. Local information is reconstructed at the end of the processing stream through the constructive interference of global signals, i.e., inverse transformations. We show that in this model local stimulus disambiguation can be achieved by means of a novel filter embedded in this architecture. This gives rise to both integrative and antagonistic effects which are in agreement with those observed in psychophysical experiments with humans, providing a functional explanation for effects of motion repulsion.
尽管局部运动信号存在模糊性，但人类在分割不同的运动刺激方面没有问题。自适应环绕调制，即整合和拮抗模式之间的明显切换，被认为在这个过程中起着关键作用。然而，到目前为止，基于局部整合的运动处理模型还不能为这一现象提供一个统一的解释。这促使我们研究在一个替代的、从根本上不同的运动处理模型中局部刺激消除歧义的问题，该模型使用全局运动滤波器进行速度计算。局部信息通过全局信号的建设性干扰，即逆变换，在处理流的末尾重建。我们表明，在这个模型中，通过在这个架构中嵌入一个新的滤波器，可以实现局部刺激消除歧义。这会产生整合和拮抗的效果，与人类在心理物理学实验中观察到的效果一致，为运动排斥效应提供了功能解释。
