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Training in computational neuroscience: Integrating experiment, theory and techn

Training in computational neuroscience: Integrating experiment, theory and techn
计算神经科学培训:实验、理论和技术的结合
批准号:
8310979
负责人:
David C. Mountain
金额:
$15.69万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-15 至 2016-07-31

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英文摘要
This proposal seeks 5 years of NIH support to establish a campus-wide training program in which young scientists, mathematicians, and engineers interested in computational neuroscience will be trained in both theoretical and experimental neuroscience. In addition, they will learn how to "translate" their research ideas from the laboratory to the clinic. This proposal consists ofthe two required components in RFA-DA-11-005. This first is a R90 component that will fund six full-time undergraduate research trainees give them a combination of coursework and hands-on laboratory research experience. The R90 will also fund two predoctoral students. The second component is a full-time Ruth L. Kirschstein National Research Service Award (NRSA) institutional predoctoral training program (T90) that will fund 4 predoctoral students. The goal of this proposal is to create a unique training experience in computational neuroscience in which young scientists, mathematicians, and engineers interested in computational neuroscience will be trained in both theoretical and experimental approaches to studying the brain. In addition, they will learn how to "translate" their research ideas from the laboratory to the clinic. The program will integrate fundamental knowledge, interdisciplinary thinking, and translational skills to solve challenges in the neurosciences, as well as promote a strong community of faculty and students with similar interests.
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Training in computational neuroscience: Integrating experiment, theory, and techn
Training in computational neuroscience: Integrating experiment, theory and techn
Training in computational neuroscience: Integrating experiment, theory and techn
Training in computational neuroscience: Integrating experiment, theory, and techn
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