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.

计划摘要 计算神经科学(TPCN)培训计划将支持综合本科生和 在纽约大学接受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)计划 心理学，反映了大脑和行为的双重作用。TPCN方案教员由24名 高效率的绩效指标。TPCN将是NIH资助的项目的延续，该项目从2016年起在纽约大学成功运行 到2021年，培养了24名本科生和12名博士后，建设了社区基础设施 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临界质量的 计算神经学家，纽约大学理论神经科学斯隆-斯沃茨中心自 1994年b)仅在过去一年，两个参与部门就主要雇用了四个 计算/理论学院；c)CNS早在#年就设立了神经科学本科专业 1992年；d)项目教员在广泛的合作以及共同指导方面有着良好的记录 博士后学生。 TPCN的每个实习生将完成一年的课程作业、实验室研究和TPCN特定的 职业发展活动，包括技能教程、下一职业阶段的指导、 教职员工们相互挑选彼此的作品和演示文稿，公开讨论他们的背景故事 职业(“在科学中成长”)，指导本科生的博士前实习生，以及教学杂志 由外部演讲者举办计算神经科学研讨会之前的俱乐部。这些活动加在一起形成了一个 为在计算神经科学领域的学术生涯做全面准备。 TPCN的一个主要目标将是增加计算神经科学的可及性和多样性 尤其是在本科生层面上。这就需要使隐性课程显性化，并弥补 学生在大学前机会上的差异。我们将通过各种措施实现这一目标，包括) 在申请TPCN之前举办数学新兵训练营；b)提供更早的研究机会；c) 引入本科生实验室轮换；d)将实习生的默认期限从2年减少到1年， 从而提供更广泛的访问。