A border-ownership model based on computational electromagnetism
A border-ownership model based on computational electromagnetism
复制标题
基于计算电磁学的边界所有权模型
DOI：
10.1016/j.neunet.2017.12.004
复制
发表时间：
2018
期刊：
影响因子：
7.8
通讯作者：
Satoh Shunji
中科院分区：
文献类型：
--
作者：
Zainal Zaem Arif;Satoh Shunji
矢量电场与其对应的标量势场之间的数学关系对于制定低/中阶视觉处理的计算问题是有用的，特别是与将边界分配到对象的侧面有关：所谓的边界所有权（BO）。BO编码是从背景中提取对象的关键过程，允许人们组织混乱的场景。我们提出，该问题是可解的同时，通过应用电磁学的定理，即，“保守向量场的旋转为零，或称“旋度”。”我们假设：（i）BO信号可定义为具有指向感知对象内侧的箭头的矢量电场，以及（ii）其对应的标量场携带与遮挡/被遮挡对象的深度中的感知顺序相关的信息。一个简单的模型是基于这个计算理论。模型结果定性同意BO编码神经元的对象侧选择性，并与对象顺序的看法。模型更新规则可以被复制为一个合理的神经网络，提出了新的解释现有的生理结果。本研究的结果还表明，T结探测器是不必要的计算深度顺序。
The mathematical relation between a vector electric field and its corresponding scalar potential field is useful to formulate computational problems of lower/middle-order visual processing, specifically related to the assignment of borders to the side of the object: so-called border ownership (BO). BO coding is a key process for extracting the objects from the background, allowing one to organize a cluttered scene. We propose that the problem is solvable simultaneously by application of a theorem of electromagnetism, i.e., “conservative vector fields have zero rotation, or “curl.” We hypothesize that (i) the BO signal is definable as a vector electric field with arrowheads pointing to the inner side of perceived objects, and (ii) its corresponding scalar field carries information related to perceived order in depth of occluding/occluded objects. A simple model was developed based on this computational theory. Model results qualitatively agree with object-side selectivity of BO-coding neurons, and with perceptions of object order. The model update rule can be reproduced as a plausible neural network that presents new interpretations of existing physiological results. Results of this study also suggest that T-junction detectors are unnecessary to calculate depth order.