用于轮廓感知和运动整合的皮质启发几何学
A cortical-inspired geometry for contour perception and motion integration
摘要：
在本文中，我们开发了一个几何模型的功能架构处理的时空视觉刺激。该模型源于视觉皮层中的方向和速度选择细胞的感受野线性动力学的性质，其可以嵌入到几何形状的定义中，其中点之间的连接由5D流形的切触结构驱动。然后，我们计算的随机内核的近似的两个福克普朗克算子的几何形状，并实现它们作为促进模式内的神经种群活动模型，以重现一些心理生理学的发现有关的感知轮廓的运动和轨迹的点在文献中发现。
英文摘要：
In this paper we develop a geometrical model of functional architecture for the processing of spatio-temporal visual stimuli. The model arises from the properties of the receptive field linear dynamics of orientation and speed-selective cells in the visual cortex, that can be embedded in the definition of a geometry where the connectivity between points is driven by the contact structure of a 5D manifold. Then, we compute the stochastic kernels that are the approximations of two Fokker Planck operators associated to the geometry, and implement them as facilitation patterns within a neural population activity model, in order to reproduce some psychophysiological findings about the perception of contours in motion and trajectories of points found in the literature.
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