Interdisciplinary Training in Computational Neuroscience for Researchers from Graduate and Medical Students to Junior Faculty

为从研究生、医学生到初级教师的研究人员提供计算神经科学跨学科培训

基本信息

批准号：
9303447
负责人：
Satish S Nair
金额：
$ 15.52万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-23 至 2020-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9303447
关键词：
Active Learning Address Advertisements Area Back Behavioral Biological Biology Biophysics Brain Code Cognitive Science Complex Computer Simulation Computer software Computers Development Dimensions Discipline Education Educational process of instructing Educational workshop Electrical Engineering Electronic Mail Engineering Evaluation Exercise Faculty Fostering Foundations Immersion Investigative Technique Individual Institution Instruction Journals Learning Link Mathematics Medical Students Medicine Missouri Modeling Neurobiology Neurons Neurosciences Participant Pathologic Persons Physics Physiology Postdoctoral Fellow Pre-Post Tests Process Property Psychology Publishing Recruitment Activity Reporting Research Research Personnel Research Project Grants Research Training Science Scientist Site Societies Source System Systems Analysis Training Universities Visit Work base career college computational neuroscience computer science computerized tools course module design experience experimental study follow-up graduate student improved information processing interest laboratory experiment learning materials mathematical model meetings neural circuit neurophysiology next generation pedagogy programs public health relevance relating to nervous system software development success symposium tool undergraduate student virtual laboratory web site webinar working group

项目摘要

DESCRIPTION (provided by applicant): Truly integrative and interdisciplinary training in neuroscience is necessary to understand brain function in both normal and pathological states. And such training is not available presently at the pre- and post-doctoral and junior faculty level due to a multitude of reasons. We propose an integrated approach to train the next generation of `neuro' research scientists from several disciplines including biology, psychology, medicine, engineering, physics and mathematics. Specifically, we will build on past successes with training in interdisciplinary neuroscience, to enhance the research expertise of graduate students, post-doctoral scholars and junior faculty in the growing area of computational neuroscience. This enhancement will be achieved via a 2-week short course, with 24 participants/year, held on the University of Missouri campus in Columbia. The course will begin with an in-depth emphasis on neurophysiological concepts via free software (virtual lab) experiments and some wet-lab experiments using a "from biology to model and back again" approach. It will then provide training in hands-on software development both at the individual (exercises) and two-person group (projects) levels using the software package NEURON to model single neurons and circuits of neurons. We will place importance on the development of individual computational research projects by participants, to enhance their confidence and ability to integrate such tools into their research careers. Since neuroscience concepts and software development tend to be complex, we will provide follow up to participants for one year on all aspects of the course, and in the process also identify barriers to research training in thi new interdisciplinary area. For interested faculty participants, we are willing to visit their institutions to foster interaction across disciplines, research programs, and institutions, in computational approaches. Our experience and findings will be published in science and engineering education journals and presented at appropriate conferences. Our team includes four interdisciplinary faculty, three with expertise in content (1 computational + 2 neuroscientists) and one in pedagogy and evaluation. Two of the faculty (Nair and Schulz) have been collaborating in research in and teaching interdisciplinary neuroscience for the past 8 years. Over that period they have also been hosting annual summer workshops for 2 and 4-year college faculty with focus on teaching undergraduate neuroscience. Our experience and findings will be published in science and engineering education journals and presented at appropriate conferences.

描述（由申请人提供）：神经科学领域真正的综合性和跨学科培训对于了解正常和病理状态下的大脑功能是必要的，但由于数量众多，目前在博士前、博士后和初级教师层面尚无法提供此类培训。我们提出了一种综合方法来培训来自生物学、心理学、医学、工程学、物理学和数学等多个学科的下一代“神经”研究科学家。具体来说，我们将在过去的成功基础上进行跨学科培训。神经科学，以提高研究生、博士后学者和初级教师在计算神经科学不断发展的领域的研究专业知识，这种增强将通过为期两周的短期课程来实现，每年有 24 名参与者。该课程将从位于哥伦比亚的密苏里大学校园开始，通过免费软件（虚拟实验室）实验和一些湿实验室实验，使用“从生物学到模型再返回”的方法深入强调神经生理学概念。提供实践软件开发培训我们将重视参与者个人计算研究项目的开发，以增强他们的信心和整合能力。由于神经科学概念和软件开发往往很复杂，我们将为参与者提供为期一年的课程各个方面的跟进，并在此过程中找出这一新的跨学科领域研究培训的障碍。 .对于有兴趣的教师参与者，我们愿意访问他们的机构，以促进跨学科、研究项目和机构在计算方法方面的互动。我们的经验和发现将发表在科学和工程教育期刊上，并在适当的会议上展示。我们的团队包括四名跨学科教师，其中三名具有专业知识。在过去的 8 年里，两位教师（Nair 和 Schulz）一直在跨学科神经科学的研究和教学方面进行合作。为两年制和四年制大学教师举办的年度夏季研讨会，重点是本科生神经科学的教学。我们的经验和研究结果将发表在科学和工程教育期刊上，并在适当的会议上展示。