Training in theoretical and computational approaches to neural circuits of cognition

认知神经回路的理论和计算方法培训

• 批准号: 10626364
• 负责人: Elizabeth A Buffalo
• 金额: $ 17.95万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10626364
• 关键词: Cognition; Training; neural circuit

Through a coordinated program of research, mentoring, coursework, and partnerships, we will train a cohort of students and postdoctoral fellows who will become leaders in interdisciplinary, computational research that advances central questions in the cellular and circuit basis of cognition. We will foster a community of trainees equipped with a skillset that unites fundamentals of neurobiology, mathematics, scientific computing, and equips them to engage in real dialogue and innovation across fields using collaborative and reproducible approaches. The projects undertaken by trainees in this research program will directly address key questions relevant to the NIH's mission including: the study and advancement of theoretical and computational models that describe how information processing arises from dynamics of neurons and their networks, the study and advancement of the analysis of multi-modal, high- dimensional neural data, and the investigation of complex neural circuit dynamics and function in health and disease. Each trainee will receive joint research mentorship between a leading computational and experimental neuroscientist at UW, thus gaining the skills and experience to ensure that their computational work occurs within a virtuous cycle that allows theory to further drive novel experiments. We will expand the scope of the computational neuroscience community by recruiting from underrepresented groups, building bridges across departments and schools, and connecting trainees with emerging opportunities within and beyond academia. We will admit up to three students and two new postdoctoral fellows each year for a two-year period, training up to 13 students and 9 new postdocs in total over the course of the program. Trainees will have backgrounds in the computational, biological, and mathematical sciences.

通过研究，指导，课程和合作伙伴关系的协调计划，我们将 培养一批学生和博士后研究员，他们将成为跨学科， 计算研究，推进核心问题的细胞和电路基础， 认知.我们将培养一个拥有技能的受训者社区， 神经生物学，数学，科学计算的基础知识，并使他们能够从事 使用协作和可复制的方法进行跨领域的真实的对话和创新。的 本研究计划中的学员所开展的项目将直接解决关键问题 与NIH的使命有关，包括：研究和推进理论和 计算模型描述了信息处理是如何从动力学中产生的。 神经元及其网络，多模态，高， 三维神经数据，以及复杂神经回路动力学和功能的研究 健康和疾病。每名学员将获得一个领先的 计算和实验神经科学家在华盛顿大学，从而获得的技能和经验， 确保他们的计算工作发生在一个良性循环，使理论进一步 推动新的实验。我们将扩大计算神经科学的范围 通过从代表性不足的群体中招聘，在各部门之间建立桥梁， 和学校，并将学员与学术界内外的新兴机会联系起来。 我们每年将招收三名学生和两名新的博士后研究员，为期两年。 期间，培训多达13名学生和9名新的博士后在整个计划的过程中。 学员将有计算，生物和数学科学的背景。