Target detection in visual clutter

该项目的跨学科性质将为培养计算神经科学热点领域的博士后工作者提供一个刺激的环境。虽然使用传统工程已经实现了在杂波中移动目标检测的计算昂贵的解决方案，但该项目将提供对生物大脑效率的洞察（得益于数百万年来朝着紧凑，经济和最佳解决方案的进化）。研究结果将有助于高效人工智能的发展。它还将协助我们与国防伙伴正在进行的合作，开发和应用人工视觉系统中的算法。

The interdisciplinary nature of the project will offer a stimulating environment for training a postdoctoral worker in the hot topic of computational neuroscience. While computationally expensive solutions to moving target detection in clutter have been implemented using conventional engineering, this project will offer insight into the efficiency of the biological brain (with benefit of millions of years of evolution towards compact, economical and optimal solutions). The results will assist development of efficient artificial intelligence. It will also assist our ongoing collaborations with defence partners to develop and apply algorithms in artificial vision systems.