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.

计划概要 计算神经科学培训计划（TPCN）将支持综合本科生和 纽约大学计算神经科学研究生培训。该节目将由 神经科学中心 (CNS) 和认知与感知 (C&P) 项目 心理学，反映大脑和行为的双重作用。 TPCN 项目教师由 24 名高度 富有成效的 PI。 TPCN 将是 NIH 资助的项目的延续，该项目自 2016 年起在纽约大学成功运行 至2021年，培养本科生24名，博士生12名，并建设社区基础设施 活动。 TPCN 与纽约大学的优势非常契合： a) 纽约大学是少数几所拥有足够数量的大学之一 计算神经科学家，纽约大学自此成立了斯隆-斯沃茨理论神经科学中心 1994 b) 仅在过去一年，两个参与部门就雇佣了四名主要人员 计算/理论教师； c) CNS早在 1992； d) 项目教师在广泛的合作和共同指导方面拥有良好的记录 博士前学生。 TPCN 的每位学员将完成一年的课程作业、实验室研究和 TPCN 特定课程 专业发展活动，包括技能教程、下一职业阶段的指导、 教师们互相研讨对方的著作和演讲，公开讨论他们的背景故事 职业生涯（“在科学中成长”）、指导本科生的博士前学员以及教学期刊 俱乐部在外部演讲者举办的计算神经科学研讨会之前。这些活动共同构成了 为计算神经科学的学术生涯做好全面的准备。 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。这需要使隐性课程显性化并补偿 学生上大学前的机会差异。我们将通过多种措施来实现这一目标，包括： 在向 TPCN 申请之前举办数学训练营； b) 提供早期接触研究的机会； c) 引入本科生实验室轮换； d) 将默认实习期限从 2 年减少到 1 年， 从而提供更广泛的访问。