CAREER: Computational Representations and Processes in Active Perception

该奖项支持对主动感知的计算原理和神经机制的研究——主动收集信息来构建、更新和改进系统对其环境的表示、知识和理解。PI将开发一个综合的多学科研究和教育计划，利用计算机和信息科学，系统工程，神经科学和心理学技术来研究猴子和人类如何使用眼球运动来积极分析不同视觉任务中的视觉场景，以及在这些过程中神经机制和表征是如何转换的。为了证明他正在发展的理论框架，他将建立一个能够学会看的自适应主动视觉系统。在进行研究的同时，他将通过将神经科学和神经计算的问题、理论和实践引入计算机科学教室和实验室，加强卡耐基梅隆大学传统的计算机科学和计算机视觉课程，为新一代跨学科计算机科学家做好准备，迎接计算生物学的新挑战。

This award supports the study of computational principles and neural mechanisms underlying active perception -- the active gathering of information to construct, update and improve a system's representation,knowledge and understanding of its environment. The PI will develop an integrated multidisciplinary research and educational program that utilizes techniques from computer and information science, system engineering, neuroscience and psychology to study how monkeys and humans use eye movement to actively analyze visual scenes in different visual tasks and how the neural machinery and representations are transformed in these processes. To prove the theoretical framework he is developing, he will build an adaptive active vision system that will learn to see. Along with the research, he will enhance the traditional computer science and computer vision curriculum at Carnegie Mellon by introducing problems,theories and practice from neuroscience and neural computation to computer science classrooms and laboratories to prepare a new generation of interdiscciplinary computer scientists for the new challenges in computational biology.