Kogo Naoki, Galli Alessandra, Wagemans Johan
Katholieke Universiteit Leuven, Laboratory of Experimental Psychology, Leuven, Belgium.
Vision Res. 2011 Sep 15;51(18):2085-98. doi: 10.1016/j.visres.2011.08.010. Epub 2011 Aug 16.
A model that computes the border-ownership (BOWN) and the depth map of the image (DISC model, Kogo et al., 2010) is applied to investigate the stochastic nature of perception in "face or vase" stimuli. The 2-D integration of BOWN signals determines the figure-ground relationships in the image. In the present application of the model, BOWN signals are made stochastic and feedback connections are established between the higher level depth perception and the lower level BOWN signals. This feedback modifies the BOWN signals to further enhance the figure-ground segregation. Adaptation results in a decay of the response which leads to alternation. This triggers recovery of the adaptation. The alternation rate decreases in response to the increased levels of disambiguation. A detailed examination of the model parameters shows a prolongation of the alternation when the stimulus is presented intermittently in some conditions. In this framework, the adaptation and the recovery processes need to be perception dependent (not physical input dependent) to reproduce human perception.
一个用于计算边界所有权（BOWN）和图像深度图的模型（DISC模型，Kogo等人，2010年）被应用于研究“脸或花瓶”刺激中感知的随机性。BOWN信号的二维整合决定了图像中的图形-背景关系。在该模型的当前应用中，BOWN信号被设置为随机的，并且在高层深度感知和低层BOWN信号之间建立了反馈连接。这种反馈会修改BOWN信号，以进一步增强图形-背景分离。适应会导致反应衰减，进而引发交替。这会触发适应的恢复。交替率会随着歧义程度的增加而降低。对模型参数的详细检查表明，在某些条件下间歇性呈现刺激时，交替会延长。在此框架中，适应和恢复过程需要依赖于感知（而非物理输入）才能重现人类感知。
