Doctoral Training Centres - University of Edinburgh

尽管神经科学最近取得了快速进步，但我们对大脑的洞察深度仍然有限。大脑是已知的最复杂和最复杂的信息处理设备。同样，在过去的几十年里，我们看到了IT和计算机科学领域的巨大进步，但我们最先进的计算机系统在许多现实世界的任务中都被蜜蜂超越了。与神经科学有关的生命科学(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、物理学和电子工程)之间有许多接触点。这项神经信息学(NI)新兴跨学科领域的博士培训计划利用了这些领域之间的潜在协同效应。该方案有三个主要主题：1)计算和认知神经科学；2)神经形态和神经工程；3)促进前两个主题的软件工具和方法。通过这一DTP，英国有机会在发展处于神经信息学前沿所需的研究技能方面处于早期领先地位。

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.