Computationally Enabled Integrative Neuroscience

总结/摘要 ! 马萨诸塞州脑科学研究所的脑与认知科学（BCS）研究生项目 麻省理工学院（MIT）提出了“计算支持的综合神经科学”（CEIN） 博士前培训计划神经科学领域的巨大进步开始 使我们能够对大脑有一个全面的了解。新的工具和方法的融合，从 光遗传学到CRISPR到深度神经网络建模和机器学习， 提供了解决曾经似乎难以解决的问题的手段。麻省理工学院的BCS部门是 理想的组织，以促进神经科学的跨学科，综合培训和研究， 行为，结合现代分子，细胞，系统和行为的经验力量 方法，具有计算神经科学的理论和建模能力， 人工智能CEIN拥有世界知名的师资队伍和最先进的设备， 学员将准备好领导下一代的基础和转化神经科学。 建议的CEIN培训计划保持了BCS长期以来的综合培训优势 不同层次的实证分析。此外，拟议方案反映了以下方面的重大演变： 我们的领域：计算在数据分析和复杂模型中的重要性日益增加 建设，以及专业技能对领导力的重要性日益增加。CEIN培训 目标集中在三个培训支柱（1）推进经验方法和概念， 神经科学的多层次（2）理论发展和大脑数据的计算方法 分析，和（3）专业技能，如赠款写作，口头报告，和临床连接。 在麻省理工学院世界一流的设施、资源和师资的支持下，博士预科生将实现 这些目标通过全面的课程，专业技能发展的新模块， 该领域专家的指导和先进的研究经验。 CEIN学员的研究将导致对健康大脑功能的深刻新发现 以及它在疾病中的失效模式。CEIN实验室的见解将影响诊断和 治疗阿尔茨海默病，自闭症谱系障碍，阅读障碍，听力损失，以及许多 其他疾病对美国健康的影响越来越大。 CEIN计划的重点是在研究生院的前两年培训学生。资金 每年资助11名博士前学员。CEIN培训计划 将是麻省理工学院唯一的神经科学基础博士前培训项目。

Summary / Abstract ! The Brain and Cognitive Sciences (BCS) Graduate Program at the Massachusetts Institute of Technology (MIT) proposes the “Computationally-Enabled Integrative Neuroscience” (CEIN) predoctoral training program. Tremendous advances in the field of neuroscience are beginning to enable an integrated understanding of the brain. A convergence of new tools and methods, from optogenetics to CLARITY to CRISPR to deep neural network modeling and machine learning, is providing the means to address problems that once seemed intractable. MIT's BCS department is ideally organized to promote interdisciplinary, integrative training and research in neuroscience and behavior, combining the empirical power of modern molecular, cellular, systems and behavioral methods, with the theoretical and model-building strength of computational neuroscience and artificial intelligence. With world-renowned faculty and access to state-of-the-art equipment, CEIN trainees will be poised to lead the next generation of basic and translational neuroscience. The proposed CEIN training program maintains BCS's longstanding strength of integrative training across levels of empirical analysis. In addition, the proposed program reflects significant evolution in our field: the increased importance of computation in both data analysis and complex model building, and the increased importance of professional skills for leadership. The CEIN training objectives are focused on three training pillars (1) advancing empirical methods and concepts at multiple levels of neuroscience (2) computational approaches to theory development and brain data analysis, and (3) professional skills such as grant-writing, oral presentations, and clinical connection. Supported by MIT's world-class facilities, resources, and faculty, predoctoral students will achieve these goals through comprehensive coursework, new modules for professional skills development, mentorship by experts in the field, and advanced research experience. The research of CEIN trainees will lead to profound new discoveries about brain function in health and its modes of failure in disease. Insights from CEIN laboratories will impact diagnosis and treatment of Alzheimer's Disease, Autism Spectrum Disorders, dyslexia, hearing loss, and many other disorders with increasing impact on heath in the United States. The CEIN program is focused on training students in their first two years of graduate school. Funds are requested for five years to support 11 predoctoral trainees per year. The CEIN training program would be the only foundational neuroscience predoctoral training program at MIT.