Training program in computational approaches to brain and behavior

大脑和行为计算方法培训计划

• 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
• 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

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.

节目概要 在计算神经科学（TPCN）的培训计划将支持综合本科和 在纽约大学接受计算神经科学的研究生培训。该计划将由 神经科学中心（CNS）和认知和感知（C&P）计划在系 心理学，反映大脑和行为的双重作用。TPCN计划教师由24名高度 生产性PI。TPCN将是2016年在纽约大学成功运行的NIH资助项目的延续 到2021年，培养了24名本科生和12名博士前学生，并建立了社区基础设施 活动TPCN与纽约大学的优势非常吻合：a）纽约大学是少数几所拥有大量 计算神经科学家，纽约大学有一个斯隆-斯沃茨理论神经科学中心， 1994年B）单是在过去一年，两个参与部门就主要聘用了四名 计算/理论系; c）CNS早在2000年就建立了神经科学本科专业。 1992年; d）项目教师有广泛的合作以及共同指导的良好记录 博士前学生。 TPCN的每个学员将完成一年的课程，实验室研究和TPCN特定的 专业发展活动，包括技能辅导、下一职业阶段的指导， 教师们互相研究彼此的著作和演讲，公开讨论他们的背景故事 职业（“在科学中成长”），博士前学员指导本科学员，教学期刊 俱乐部之前的计算神经科学研讨会由外部扬声器。这些活动共同构成了 为计算神经科学的学术生涯做全面的准备。 TPCN的一个主要目标是增加计算神经科学的可及性和多样性 尤其是在本科阶段。这就需要使隐性课程显性化， 大学前学生的机会差异。我们将通过各种措施实现这一目标，包括： 在向TPCN提出申请之前举办数学靴子训练营; B）提供早期研究机会; c） 引入本科生实验室轮换; d）将实习的默认期限从2年缩短为1年， 从而提供更广泛的访问。