Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis
计算神经科学和数据分析的本科生和研究生培训
基本信息
- 批准号:10879351
- 负责人:
- 金额:$ 24.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-15 至 2028-06-30
- 项目状态:未结题
- 来源:
- 关键词:AttitudeBehaviorBiologyCognitionCollaborationsComputing MethodologiesCoupledDataData AnalysesDiseaseEligibility DeterminationEnsureFacultyFundingGoalsHealthHumanIndividualInstitutionKnowledgeLaboratory ResearchLearningMachine LearningMathematicsMentorsMethodsMolecularNational Institute of Drug AbuseNational Research Service AwardsNervous SystemNeuronsNeurosciencesProspective cohortPsychologyResearchResearch Project GrantsScienceScientistSenior ScientistStudentsSynapsesTeacher Professional DevelopmentTrainingTraining ProgramsUnderrepresented PopulationsUniversitiesWorkWritingcareercomputational neurosciencecomputer sciencedesigndoctoral studentexperiencegraduate studentinterdisciplinary collaborationlaboratory experiencemathematical modelmodel buildingoutreachpre-doctoralprogramsskillsstatisticsundergraduate student
项目摘要
Project Summary
The goal of this training program entitled “Training in Computational Neuroscience and Data Analysis” is
to help undergraduate and predoctoral students gain the knowledge, skills, and attitudes they need to
flourish in a scientific career that brings quantitative approaches to the study of neuroscience and
behavior. This new program arises from a prior training program in Computational Neuroscience at
Brandeis University that expired recently after 10 years of NIDA support. Given the increasing
importance of machine learning in data analysis and solving of data-rich scientific problems, coupled with
recent Brandeis hires in the field, our new program will include more participation from computer science
faculty with expertise in the field. Also, given the recent introduction of an applied mathematics major at
Brandeis and associated new faculty in the field, we have doubled the number of training labs with
students working on mathematical modeling in neuroscience. The proposed program requests funding
to support 6 undergraduates, 4 NRSA eligible graduate students, and 2 non-NRSA eligible graduate
students each year. We will target two cohorts of prospective trainees: 1) Individuals with strong prior
experience with quantitative methods who wish to work in neuroscience. 2) Individuals with backgrounds
in psychology, neuroscience and biology who wish to learn to employ quantitative and computational
methods to tackle important problems in neuroscience. We will continue prioritizing outreach activities
aimed at ensuring trainees from underrepresented populations are included in our program. Students will
have two complementary mentors so they participate in labs with both quantitative and experimental
approaches to neuroscience. The 26 training faculty have research expertise ranging from human
cognition to cellular and molecular neuroscience, so a wide variety of research problems, at numerous
levels of analysis are available to trainees. The training faculty were chosen based on demonstrated
commitment to the use of theoretical and computational methods and interdisciplinary collaboration to
understand the nervous system in health and disease. Students will take courses in statistics, data
analysis, computational neuroscience, obtain skills in building models of neurons, synapses, and
networks, and employ these in a variety of independent research projects. In addition to course work and
laboratory research, students and trainees will be engaged in a large number of other activities designed
to enhance their speaking skills, writing skills, and ability to collaborate with other scientists. All students
and trainees will receive training in the responsible conduct of science and will interact with senior
scientists at other institutions.
项目摘要
该培训计划的目标为“计算神经科学和数据分析中的培训”是
为了帮助本科生和专业学生获得知识,技能和参加,他们需要
在科学职业中蓬勃发展,该职业为神经科学研究带来了定量方法
行为。这个新程序来自先前的计算神经科学培训计划
布兰代斯大学(Brandeis University)经过10年的NIDA支持后最近到期。考虑到增加
机器学习在数据分析和解决数据丰富的科学问题的重要性,再加上
Brandeis最近在该领域雇用,我们的新计划将包括计算机科学的更多参与
该领域专家的教师。此外,鉴于最近引入了应用的数学专业
Brandeis和该领域的新教师,我们与培训实验室的数量增加了一倍
从事神经科学数学建模的学生。拟议的计划请求资金
支持6名本科生,4名NRSA合格的研究生和2名非NRSA合格研究生
学生每年。我们将针对两名准培训生:1)具有强大先验的人
希望从事神经科学工作的定量方法的经验。 2)背景的人
希望学会使用定量和计算的心理学,神经科学和生物学
解决神经科学中重要问题的方法。我们将继续优先考虑外展活动
旨在确保我们计划中包括代表性不足人群的培训。学生会
有两个完成的导师,因此他们参与具有定量和实验性的实验室
神经科学的方法。 26位培训教师具有从人类的研究专业知识
对细胞和分子神经科学的认知,因此在许多研究问题上,众多研究问题
学员可以使用分析水平。根据所证明的培训教师选择
致力于使用理论和计算方法以及跨学科合作
了解健康和疾病的神经系统。学生将参加统计,数据的课程
分析,计算神经科学,获得建立神经元,突触和的技能
网络,并将其用于各种独立的研究项目。除了课程工作以及
实验室研究,学生和学员将参加许多其他设计的活动
提高他们的口语技能,写作技巧以及与其他科学家合作的能力。所有学生
学员将接受负责任的科学行为的培训,并将与高级互动
其他机构的科学家。
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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PAUL MILLER其他文献
PAUL MILLER的其他文献
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{{ truncateString('PAUL MILLER', 18)}}的其他基金
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis
计算神经科学和数据分析的本科生和研究生培训
- 批准号:
10746527 - 财政年份:2023
- 资助金额:
$ 24.8万 - 项目类别:
Undergraduate and Graduate Training in Computational Neuroscience
计算神经科学本科生和研究生培训
- 批准号:
9762068 - 财政年份:2011
- 资助金额:
$ 24.8万 - 项目类别:
Undergraduate and Graduate Training in Computational Neuroscience
计算神经科学本科生和研究生培训
- 批准号:
9358696 - 财政年份:2011
- 资助金额:
$ 24.8万 - 项目类别:
Undergraduate and Graduate Training in Computational Neuroscience
计算神经科学本科生和研究生培训
- 批准号:
10001483 - 财政年份:2011
- 资助金额:
$ 24.8万 - 项目类别:
Undergraduate and Graduate Training in Computational Neuroscience
计算神经科学本科生和研究生培训
- 批准号:
9762066 - 财政年份:2011
- 资助金额:
$ 24.8万 - 项目类别:
Undergraduate and Graduate Training in Computational Neuroscience
计算神经科学本科生和研究生培训
- 批准号:
10001458 - 财政年份:2011
- 资助金额:
$ 24.8万 - 项目类别:
CRCNS: Cortical network models of taste processing: dynamics and plasticity
CRCNS:味觉处理的皮层网络模型:动力学和可塑性
- 批准号:
7615882 - 财政年份:2008
- 资助金额:
$ 24.8万 - 项目类别:
CRCNS: Cortical network models of taste processing: dynamics and plasticity
CRCNS:味觉处理的皮层网络模型:动力学和可塑性
- 批准号:
8077292 - 财政年份:2008
- 资助金额:
$ 24.8万 - 项目类别:
CRCNS: Cortical network models of taste processing: dynamics and plasticity
CRCNS:味觉处理的皮层网络模型:动力学和可塑性
- 批准号:
8277369 - 财政年份:2008
- 资助金额:
$ 24.8万 - 项目类别:
CRCNS: Cortical network models of taste processing: dynamics and plasticity
CRCNS:味觉处理的皮层网络模型:动力学和可塑性
- 批准号:
7860333 - 财政年份:2008
- 资助金额:
$ 24.8万 - 项目类别:
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