Training program in computational approaches to brain and behavior

大脑和行为计算方法培训计划

基本信息

批准号：
10879238
负责人：
Wei Ji Ma
金额：
$ 30.8万
依托单位：
NEW YORK UNIVERSITY
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：
https://reporter.nih.gov/project-details/10879238
关键词：
Behavior Brain Cognition Collaborations Communities Compensation Development Educational Curriculum Educational workshop Exposure to Faculty Funding Goals Infrastructure Journals Laboratory Research Mathematics Measures Mentors Neurosciences New York Perception Productivity Psychology Research Role Rotation Running Science Students Traineeship Training Training Programs United States National Institutes of Health Universities Writing academic preparation career college computational neuroscience doctoral student neural pre-doctoral programs skills undergraduate student

Behavior Brain Cognition Collaborations Communities Compensation Development Educational Curriculum Educational workshop Exposure to Faculty Funding Goals Infrastructure Journals Laboratory Research Mathematics Measures Mentors Neurosciences New York Perception Productivity Psychology Research Role Rotation Running Science Students Traineeship Training Training Programs United States National Institutes of Health Universities Writing academic preparation career college computational neuroscience doctoral student neural pre-doctoral programs skills undergraduate student

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项目摘要

PROGRAM SUMMARY The Training Program in Computational Neuroscience (TPCN) will support integrated undergraduate and graduate training in computational neuroscience at New York University. The program will be hosted by the Center for Neural Science (CNS) and the Cognition and Perception (C&P) program in the Department of Psychology, reflecting the dual roles of brain and behavior. The TPCN program faculty consist of 24 highly productive PIs. The TPCN will be a continuation of the NIH-funded program run successfully at NYU from 2016 to 2021, which trained 24 undergraduate and 12 predoctoral students and built an infrastructure of community activities. The TPCN fits well with NYU’s strengths: a) NYU is one of a few universities with a critical mass of computational neuroscientists, and NYU has had a Sloan-Swartz Center for Theoretical Neuroscience since 1994 b) In the past year alone, the two participating departments have hired four primarily computational/theoretical faculty; c) CNS established an undergraduate major in neuroscience as early as 1992; d) program faculty have a strong track record of wide-ranging collaborations as well as of co-mentoring predoctoral students. Each trainee in the TPCN will complete a year of coursework, laboratory research, and TPCN-specific professional development activities, which include skill tutorials, orientation on the next career stage, workshopping each other’s writings and presentations, faculty openly discussing the backstories of their careers (“Growing up in Science”), predoctoral trainees mentoring undergraduate trainees, and didactic journal clubs preceding computational neuroscience seminars by external speakers. Together, these activities form a comprehensive preparation for an academic career in computational neuroscience. A major goal of the TPCN will be to increase access to and diversity in computational neuroscience especially at the undergraduate level. This requires making hidden curriculum explicit and compensating for students’ pre-college differences in opportunity. We will realize this through a variety of measures, including a) holding a math boot camp preceding application to TPCN; b) providing earlier exposure to research; c) introducing undergraduate lab rotations; d) reducing the default duration of a traineeship from 2 to 1 years, thus offering broader access.

程序摘要计算神经科学（TPCN）的培训计划将支持综合的本科生和纽约大学计算神经科学的研究生培训。该程序将由神经科学中心（CNS）和认知与感知（C＆P）计划心理学，反映了大脑和行为的双重作用。 TPCN课程教师由24个高度组成生产性PI。 TPCN将是NIH资助的计划从2016年成功运行的NIH资助计划到2021年，培训了24名本科生和12名学生，并建立了社区基础设施活动。 TPCN非常适合NYU的优势：a）NYU是少数几所拥有临界的大学之一计算神经科学家，纽约大学（NYU 1994年b）仅在过去一年中，两个参与部门就雇用了四个小学计算/理论教师； c）CNS早在 1992; d）课程教师在广泛合作和联合会方面具有良好的记录专业的学生。 TPCN中的每个学员将完成一年的课程，实验室研究和TPCN特定的课程专业开发活动，包括技能教程，下一个职业阶段的方向，讲习班彼此的著作和演讲，教师公开讨论他们的背景故事职业（“在科学领域成长”），学期学会前学员和教学期刊外部扬声器在计算神经科学中的俱乐部之前。这些活动一起形成为计算神经科学领域的学术生涯的全面准备。 TPCN的主要目标是增加计算神经科学的访问和多样性特别是在本科层面。这需要使隐藏的课程明确并补偿学生的机会前差异。我们将通过各种措施来意识到这一点，包括a）在TPCN上持有数学训练营之前的数学训练营； b）提供较早的研究暴露； c）引入本科实验室旋转； d）将实习生的默认持续时间从2年减少到1年，因此提供更广泛的访问。