Training in theoretical and computational approaches to neural circuits of cognition

通过一个研究、指导、课程作业和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，他们将成为跨学科的领导者， 在细胞和电路基础上提出中心问题的计算研究 认知力。我们将培养一个训练有素的社区，拥有统一的技能 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，实现跨领域的真正对话和创新。这个 受训者在这个研究项目中承担的项目将直接解决关键问题 与NIH的任务相关的包括：研究和发展理论和 描述信息处理如何从动态的 神经元及其网络的研究与进展，多峰、高阶和高阶的分析。 空间神经数据，以及复杂神经电路动力学和功能的研究 在健康和疾病方面。每名受训者将接受一位领先的研究人员 威斯康星大学的计算和实验神经学家，从而获得了 确保他们的计算工作在良性循环中进行，从而使理论进一步 推动新奇的实验。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，在各部门之间架起桥梁 和学校，并将学员与学术界内外的新兴机会联系起来。 我们将每年招收最多三名学生和两名博士后研究员，为期两年 期间，在整个项目过程中，总共培训了13名学生和9名新的博士后。 受训者将具有计算、生物和数学科学方面的背景。

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.