Shishikura Motofumi, Machida Itsuki, Tamura Hiroshi, Sakai Ko
Department of Computer Science, University of Tsukuba, Tsukuba, Japan.
Graduate School of Frontier Biosciences, Osaka University, Suita, Japan; Center for Information and Neural Networks, Suita, Osaka, Japan.
Neural Netw. 2025 Jan;181:106821. doi: 10.1016/j.neunet.2024.106821. Epub 2024 Oct 15.
Figure-ground (FG) segregation is a crucial step towards the recognition of objects in natural scenes. Gestalt psychologists have emphasized the importance of contour features in perception of FG. Recent electrophysiological studies have identified a neural population in V4 that shows FG-dependent modulation (FG neurons). However, whether the contour features contribute to the modulation of the response patterns of the neural population remains unclear. In the present study, we quantified the contour features associated with Gestalt factors in local natural stimuli and examined whether salient contour-features evoked reliable perceptual and neural responses by analyzing response consistency (stability) across trials. The results showed the tendency that the more salient contour-features evoked the greater consistencies in the perceptual FG judgments and population-based neural responses in FG determination; a greater partial correlation for curvature and weaker correlations for closure and parallelism. Multiple linear regression analyses demonstrated that the perceptual consistency depended similarly on curvature and closure, and the neural consistency depended significantly on curvature but weakly on closure. We further observed a strong correlation between the consistencies in the perceptual and neural responses, i.e., stimuli that evoked more stable percepts tended to evoke more stable neural responses. These results indicate that local contour-features modulate the responses of the neural population in V4 and contribute to the perception of FG organization.
图形-背景(FG)分离是自然场景中物体识别的关键步骤。格式塔心理学家强调了轮廓特征在FG感知中的重要性。最近的电生理研究在V4区发现了一群表现出FG依赖性调制的神经元(FG神经元)。然而,轮廓特征是否有助于调节这群神经元的反应模式仍不清楚。在本研究中,我们量化了局部自然刺激中与格式塔因素相关的轮廓特征,并通过分析不同试验间的反应一致性(稳定性),研究了显著的轮廓特征是否能引发可靠的感知和神经反应。结果显示出一种趋势,即轮廓特征越显著,在感知FG判断和基于群体的FG确定神经反应中引发的一致性就越大;曲率的偏相关性更大,而封闭性和平行性的相关性较弱。多元线性回归分析表明,感知一致性同样依赖于曲率和封闭性,而神经一致性显著依赖于曲率,但对封闭性的依赖较弱。我们进一步观察到感知和神经反应的一致性之间存在很强的相关性,即引发更稳定感知的刺激往往会引发更稳定的神经反应。这些结果表明,局部轮廓特征调节V4区神经元群体的反应,并有助于FG组织的感知。