Neuro-physical-computational Sciences Graduate Training(RMI)

神经物理计算科学研究生培训（RMI）

基本信息

批准号：
7483052
负责人：
TIMOTHY J EBNER
金额：
$ 34.7万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-30 至 2010-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7483052
关键词：
Academia Action Potentials Address Administrator Admission activity Advertising Advisory Committees Algorithms American Appendix Applications Grants Applied Research Architecture Area Artificial Intelligence Arts Award Bacteriophages Behavior Behavioral Biochemical Biochemistry Bioinorganic Chemistry Biological Biological Models Biological Process Biological Sciences Biology Biomedical Engineering Biophysics Brain Budgets California Cell Nucleus Cell model Cells Chairperson Chemicals Chemistry Cities Class Collaborations Commit Committee Members Communication Computational Science Computer information processing Computer software Conflict (Psychology)Consult Consultations Counseling Count DNA Library Data Database Management Systems Depth Development Discipline Doctor of Philosophy Education Educational workshop Effectiveness Electrophysiology (science)Engineering Enrollment Ensure Enteric Nervous System Environment Enzymes Equation Equipment Ethnic group Evaluation Evaluation Research Exercise Exposure to Faculty Failure Feedback Fellowship Fertilization Financial Support Foundations Funding Funding Mechanisms GYPA gene Genomics Glycophorin A Goals Government Graduate Education Grant Hand Head Health High Performance Computing Hippocampus (Brain)Home environment Human Development Image Immersion Investigative Technique Individual Industry Information Systems Information Theory Institutes Institution Instruction Interdisciplinary Study International Invertebrates Ion Channel Joints Kinetics Laboratories Laboratory Research Lead Leadership Learning Left Letters Libraries Magnetic Resonance Mathematics Measures Mechanics Medical Medical Technology Medicine Membrane Membrane Potentials Mentors Methods Microbiology Minnesota Minor Modeling Modems Molecular Molecular Biology Molecular Genetics Molecular Neurobiology Movement Nature Nervous System Physiology Nervous system structure Neurobiology Neuroglia Neuromuscular Junction Neurons Neurosciences Neurosciences Research Nucleic Acids Numbers Operative Surgical Procedures Ophthalmology Oral Oral Examination Outcome Overweight Paper Parents Participant Pathway interactions Pattern Recognition Peer Group Performance Pharmacology Physical Chemistry Physics Physiological Physiology Positioning Attribute Postdoctoral Fellow Preparation Prize Probability Theory Procedures Process Professional counselor Program Effectiveness Program Evaluation Progress Reports Property Psychology Public Policy Publications Published Comment Qualifying Quantum Mechanics Radiology Specialty Rana Reading Recommendation Records Recruitment Activity Reflex action Regression Analysis Reporting Research Research Personnel Research Project Grants Research Proposals Research Training Resources Role Rotation Schedule Schools Science Scientist Score Secure Series Services Simulate Slice Social Environment Societies Southern Blotting Spectrum Analysis Statistical Mechanics Stochastic Processes Stress Structure Students Supercomputing Supervision Surveys Synapses Synaptic plasticity System Techniques Technology Testing Texas Thermodynamics Time Training Training Programs Training Support Training and Education Underrepresented Minority United States National Institutes of Health Universities Update Vision Visit Week Wood material Work Writing base biological research career chemical reaction college computational chemistry computational neuroscience computer science concept data structure day design developmental neurobiology expectation experience falls frontier improved information gathering innovation insight interest mathematical model medical schools medical specialties member neuroimaging neuroinformatics neuroregulation next generation parallel computing patch clamp peer physical model physical science pre-doctoral professor programs racial and ethnic receptive field simulation skills structural biology success symposium theories tool vision science visual process visual processing

项目摘要

DESCRIPTION (provided by applicant): The proposed interdisciplinary training program at the University of Minnesota combines graduate training in the computational, chemical, physical, and engineering sciences with graduate training in neuroscience. Neuroscience is a highly interdisciplinary field that uses a variety of experimental approaches to understand the development, structure, and function of the nervous system. As neuroscience matures, the need grows for quantitative modeling, physical and chemical insights, advanced technologies, and state-of-the-art hardware and software that the computational, chemical, physical and engineering sciences can provide. Therefore, interdisciplinary graduate training is needed to take the maximum advantage of these opportunities. The proposal incorporates the strengths, resources, and administrative structures of several existing graduate programs and the University of Minnesota Supercomputing Institute with an interdisciplinary faculty with diverse research interests, to provide a new paradigm in graduate education. We propose to offer 5 three-year Fellowships each year to attract outstanding pre-doctoral students: Enrolling in existing degree programs in Biomedical Engineering, Chemistry, Computer Science, Mathematics, Neuroscience, Physics and Scientific Computation. The Fellows will be trained across disciplines using a variety of tools including special interdisciplinary coursework, research rotations, dual thesis advisors, special seminars and symposia and unique training opportunities. Each trainee's thesis work will cross the disciplines of neuroscience and the physical/computational sciences. An advisory system will help guide students through the program. Also, several mechanisms are proposed to evaluate the effectiveness of the training program. The trainees will receive instructions in the responsible conduct of research. The proposal documents the efforts that the training program and University will make to ensure that traditionally underrepresented students are recruited and included in the program. On completion the trainees will be prepared for research careers in academia, industry and government. The overall goal is to train the next generation of scientists who can bridge the gap between biology and the physical/computational sciences. Broader impacts include advancing our understanding of the brain, cross-fertilization of the disciplines, and establishing a new model for interdisciplinary graduate training.

描述（由申请人提供）：明尼苏达大学拟议的跨学科培训计划将计算、化学、物理和工程科学的研究生培训与神经科学的研究生培训结合起来。神经科学是一个高度跨学科的领域，它使用各种实验方法来了解神经系统的发育、结构和功能。随着神经科学的成熟，对计算、化学、物理和工程科学可以提供的定量建模、物理和化学见解、先进技术以及最先进的硬件和软件的需求不断增长。因此，需要跨学科的研究生培训，以最大限度地利用这些机会。该提案整合了多个现有研究生项目的优势、资源和管理结构，以及明尼苏达大学超级计算研究所的跨学科教师队伍，具有不同的研究兴趣，为研究生教育提供了一种新的范式。我们建议每年提供 5 个为期三年的奖学金，以吸引优秀的博士前学生：报名参加生物医学工程、化学、计算机科学、数学、神经科学、物理和科学计算领域的现有学位课程。研究员将使用各种工具接受跨学科培训，包括特殊的跨学科课程、研究轮换、双论文顾问、特别研讨会和座谈会以及独特的培训机会。每个学员的论文工作都将跨越神经科学和物理/计算科学的学科。咨询系统将帮助指导学生完成该计划。此外，还提出了多种机制来评估培训计划的有效性。学员将接受负责任地进行研究的指导。该提案记录了培训计划和大学将做出的努力，以确保传统上代表性不足的学生被招募并纳入该计划。完成后，学员将为学术界、工业界和政府的研究生涯做好准备。总体目标是培养能够弥合生物学和物理/计算科学之间差距的下一代科学家。更广泛的影响包括增进我们对大脑的理解、学科的交叉融合以及建立跨学科研究生培训的新模式。