Doctoral Training Centres - University of Edinburgh

尽管最近神经科学发展迅速，但我们对大脑这个已知的最复杂、最精密的信息处理装置的了解仍然有限。同样，在过去的几十年里，我们看到了信息技术和计算机科学领域的巨大进步，然而，我们最先进的计算机系统在许多现实世界的任务中被超越了，例如，蜜蜂。与神经科学相关的生命科学（如神经科学、心理学、语言学）与信息科学及相关学科（如计算机科学、数学、统计学、物理学和电气工程）之间有许多接触点。这个博士培训计划在新兴的神经信息学跨学科领域（NI）利用这些领域之间的潜在协同作用。该计划有三个主要主题：1)计算和认知神经科学；2)神经形态学与神经工程；3)推进前两个主题的软件工具和方法。通过这个DTP，英国有机会在发展必要的研究技能方面率先走在神经信息学的前沿。

Despite recent rapid advances in neuroscience, the depth of our insight regarding the brain, the most complex and sophisticated information-processing device known, remains limited. Similarly, over the last few decades we have seen tremendous advances in the areas of IT and computer science, yet our most advanced computer system is surpassed in many real-world tasks by, for example, the honey-bee. There are many points of contact between the neuroscience-related life-sciences (e.g., neuroscience, psychology, linguistics) and the information sciences and related disciplines (e.g., computer science, mathematics, statistics, physics and electrical engineering). This Doctoral Training Programme in the emerging interdisciplinary field of neuroinformatics (NI) capitalises on the potential synergies between these domains. The Programme has three major themes: 1) computational and cognitive neuroscience; 2) neuromorphic and neural engineering; 3) software tools and methods for advancing the first two themes. Through this DTP, the UK has the opportunity to take an early lead in developing the research skills necessary to be at the forefront of neuroinformatics.