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:9037332
- 负责人:
- 金额:$ 19.91万
- 依托单位:
- 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 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:Active LearningAddressAdvertisementsAreaBackBehavioralBiologicalBiologyBrainCodeCognitive ScienceComplexComputer SimulationComputer softwareComputersDevelopmentDimensionsDisciplineEducationEducational process of instructingEducational workshopElectrical EngineeringElectronic MailEngineeringEvaluationExerciseFacultyFosteringFoundationsIndividualInstitutionInstructionJournalsLearningLinkMathematicsMedical StudentsMedicineMissouriModelingNeurobiologyNeuronsNeurosciencesParticipantPersonsPhysicsPhysiologyPostdoctoral FellowPre-Post TestsProcessPropertyPsychologyPublishingRecruitment ActivityReportingResearchResearch PersonnelResearch Project GrantsResearch TrainingScienceScientistSiteSocietiesSourceSystemSystems AnalysisTestingTrainingUniversitiesVisitWorkbasecareercollegecomputational neurosciencecomputer sciencecomputerized toolsdesignexperiencefollow-upgraduate studentimprovedinformation processinginterestmathematical modelmeetingsneural circuitneurophysiologynext generationpre-doctoralprogramspublic health relevancerelating to nervous systemresearch studysoftware developmentsuccesssymposiumtoolvirtualweb siteworking 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.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Satish S Nair其他文献
Multiple mechanisms of theta rhythm generation in a model of the hippocampus
- DOI:
10.1186/1471-2202-16-s1-o17 - 发表时间:
2015-12-18 - 期刊:
- 影响因子:2.300
- 作者:
Ali Hummos;Satish S Nair - 通讯作者:
Satish S Nair
Satish S Nair的其他文献
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{{ truncateString('Satish S Nair', 18)}}的其他基金
CRCNS: Optimization of closed-loop control of gamma oscillations
CRCNS:伽马振荡闭环控制的优化
- 批准号:
10636642 - 财政年份:2019
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Optimization of closed-loop control of gamma oscillations
CRCNS:伽马振荡闭环控制的优化
- 批准号:
10002297 - 财政年份:2019
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Optimization of closed-loop control of gamma oscillations
CRCNS:伽马振荡闭环控制的优化
- 批准号:
10207403 - 财政年份:2019
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Optimization of closed-loop control of gamma oscillations
CRCNS:伽马振荡闭环控制的优化
- 批准号:
10418751 - 财政年份:2019
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Optimization of closed-loop control of gamma oscillations
CRCNS:伽马振荡闭环控制的优化
- 批准号:
9914633 - 财政年份:2019
- 资助金额:
$ 19.91万 - 项目类别:
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
- 批准号:
9303447 - 财政年份:2015
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Modeling Acquisition and Extinction of Fear Memories in Amygdala Circuits
CRCNS:模拟杏仁核回路中恐惧记忆的获取和消除
- 批准号:
8081062 - 财政年份:2009
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Modeling Acquisition and Extinction of Fear Memories in Amygdala Circuits
CRCNS:模拟杏仁核回路中恐惧记忆的获取和消除
- 批准号:
7923205 - 财政年份:2009
- 资助金额:
$ 19.91万 - 项目类别:
CRCNS: Modeling Acquisition and Extinction of Fear Memories in Amygdala Circuits
CRCNS:模拟杏仁核回路中恐惧记忆的获取和消除
- 批准号:
7776621 - 财政年份:2009
- 资助金额:
$ 19.91万 - 项目类别:
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