Masters Training Program in Neurophysiology

该计划的目的是为学生提供神经生理学的综合观点，并了解如何使用新的计算方法来理解复杂的生物系统。随着科学分析的深度和广度的增加，传统研究领域之间的分歧正在被打破。关于生物系统的定量和定性信息正以前所未有的速度积累。为了充分利用这些进步，下一代的研究生必须熟悉不仅在体内和体外的科学调查方法，而且还计算和信息分析。学生必须理解这些分析方法如何能够交叉影响不同的研究途径，提供对生物系统更完整的理解，并带来社会和经济价值和可利用的机会。MSc Neuroscience和EPSRC/BBSRC/MRC Neuroinformatic DTC计划的整合，在向具有计算机科学和物理科学背景的学生介绍神经科学的广泛领域方面非常成功。我们现在希望利用这些现有的合作教学和研究关系，为生物科学学生提供信息学和计算方法的补充培训。神经生理学的MTG将在神经生理学系统方法的背景下培养生物科学学生的计算方法。总体结构：通过一系列的研究研讨会，研讨会，实践演示和期刊俱乐部，学生将被介绍到中心的综合生理学，认知和神经系统中心和相关的神经再生中心的活跃研究领域。这也将提供神经生理学培训的基础。计算方法的正式培训将由信息学院提供的现有硕士课程范围提供。将在使用光学成像进行定量形态分析和分子间相互作用方面提供额外的正式培训。所有这些培训资源目前都有。学生将做两个连续的12周的研究项目，每个项目将包括计算和实验分析。项目的选择主要是学生的责任，与项目主任协商。在为期12个月的学习期间，学生还将有机会参加国际科学会议。

The aim of this program is to provide students with an integrated view of neurophysiology and an appreciation of how new computational methods may be used to understand complex biological systems. Divisions between traditional fields of research are breaking down as the depth and breath of scientific analysis increases. Quantitative and qualitative information about biological systems is accumulating at an unprecedented rate. To fully exploit these advances the next generation of research students must be familiar with not only in vivo and in vitro methods of scientific investigation, but also computational and information analysis. Students must appreciate how these methods of analysis can cross-fertilise different avenues of research providing more complete understanding of biological systems, and leading to socially and economically valuable and exploitable opportunities. The integration of the MSc Neuroscience and EPSRC/BBSRC/MRC Neuroinformatic DTC programs, has been very successful at introducing students with computer science and physical science backgrounds to the broad field of neuroscience. We now wish to exploit these existing collaborative teaching and research relationships to provide a complementary training for biological science students in informatic and computational approaches. The MTG in Neurophysiology will train biological science students in computational approaches in the context of a systematic approach to Neurophysiology. GENERAL STRUCTURE: Through a series of research seminars, workshops practical demonstrations and journal clubs, students will be introduced to the active research areas in Centre for Integrative Physiology, the Centre for Cognitive and Neural Systems and the associated Centre for Neuroregeneration. This will also provide the basis of a training in Neurophysiology. Formal training in computational approaches will be provided from the existing range of MSc courses delivered by the School of Informatics. Additional formal training will be given in the use of optical imaging for quantitative morphological analysis and intermolecular interactions. All these training resources are currently available. Students will do two sequential research projects of 12 weeks that will each include both computational and experimental analysis. Choice of project is primarily the responsibility of the student, in consultation with the Program Director. During the course of their 12 month studies students will also have the opportunity to attend an international scientific meeting.