论视觉注意过程的控制
On the Control of Attentional Processes in Vision
摘要：
视觉注意加工的研究有着悠久而深刻的历史。最近，几篇论文提出了一些有见地的观点，以了解大脑中多种注意力功能的协调是如何发生的。这些从实验观察开始，作者提出了可能解释这些观察的结构，过程和计算。在这里，我们考虑一个角度，过去的作品没有，作为一种补充方法的实验接地的。我们的方法相同的问题，因为过去的作者，但从另一端的计算频谱，从问题的性质，作为马尔的计算水平将规定。在协调注意力过程时，大脑必须解决什么问题，才能成功地完成我们人类擅长的无数可能的视觉空间任务之一？当然，我们希望这两种方法最终能够相遇，从而形成一个完整的理论，但这可能不会很快实现。我们通过解决注意力控制的必要性，研究人类行为中的视觉空间和注意力任务的广度和计算难度，并提出注意力控制如何在大脑中产生的草图，从而朝着这个方向迈出了第一步。本文的主要结论是，执行控制器是必要的人类注意力功能的视觉，并有一个“第一原理”的计算方法，其理解是补充以前的方法，专注于建模或直接从实验观察学习。
英文摘要：
The study of attentional processing in vision has a long and deep history. Recently, several papers have presented insightful perspectives into how the coordination of multiple attentional functions in the brain might occur. These begin with experimental observations and the authors propose structures, processes, and computations that might explain those observations. Here, we consider a perspective that past works have not, as a complementary approach to the experimentally-grounded ones. We approach the same problem as past authors but from the other end of the computational spectrum, from the problem nature, as Marr's Computational Level would prescribe. What problem must the brain solve when orchestrating attentional processes in order to successfully complete one of the myriad possible visuospatial tasks at which we as humans excel? The hope, of course, is for the approaches to eventually meet and thus form a complete theory, but this is likely not soon. We make the first steps towards this by addressing the necessity of attentional control, examining the breadth and computational difficulty of the visuospatial and attentional tasks seen in human behavior, and suggesting a sketch of how attentional control might arise in the brain. The key conclusions of this paper are that an executive controller is necessary for human attentional function in vision, and that there is a 'first principles' computational approach to its understanding that is complementary to the previous approaches that focus on modelling or learning from experimental observations directly.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
