局部轮廓特征有助于猴子 V4 神经群和人类感知中的图形-地面分离。

IF 6 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neural Networks Pub Date : 2024-10-15 DOI:10.1016/j.neunet.2024.106821
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引用次数: 0

摘要

图-地(FG)分离是识别自然场景中物体的关键一步。格式塔心理学家强调了轮廓特征在感知 FG 中的重要性。最近的电生理学研究发现,在 V4 中有一个神经群(FG 神经元)显示出 FG 依赖性调制。然而,轮廓特征是否有助于调节神经群的反应模式仍不清楚。在本研究中,我们对局部自然刺激中与格式塔因素相关的轮廓特征进行了量化,并通过分析跨试验的反应一致性(稳定性),考察了突出的轮廓特征是否能唤起可靠的知觉和神经反应。结果表明,越是突出的轮廓特征越能唤起对 FG 判断的知觉一致性和对 FG 确定的群体神经反应;对曲率的部分相关性越大,对封闭性和平行性的相关性越小。多元线性回归分析表明,知觉一致性同样取决于曲率和闭合度,而神经一致性显著取决于曲率,但弱于闭合度。我们进一步观察到,知觉反应和神经反应的一致性之间存在很强的相关性,也就是说,能唤起更稳定知觉的刺激往往能唤起更稳定的神经反应。这些结果表明,局部轮廓特征会调节 V4 神经群的反应,并有助于对 FG 组织的感知。
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Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception
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.
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来源期刊
Neural Networks
Neural Networks 工程技术-计算机:人工智能
CiteScore
13.90
自引率
7.70%
发文量
425
审稿时长
67 days
期刊介绍: Neural Networks is a platform that aims to foster an international community of scholars and practitioners interested in neural networks, deep learning, and other approaches to artificial intelligence and machine learning. Our journal invites submissions covering various aspects of neural networks research, from computational neuroscience and cognitive modeling to mathematical analyses and engineering applications. By providing a forum for interdisciplinary discussions between biology and technology, we aim to encourage the development of biologically-inspired artificial intelligence.
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