Computationally Enabled Integrative Neuroscience

计算支持的综合神经科学

• 批准号: 10237871
• 负责人: James J DiCarlo
• 金额: $ 23.36万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10237871
• 关键词: Neurosciences

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.

摘要/摘要 好了！ 麻省理工学院脑与认知科学(BCS)研究生项目 麻省理工学院(MIT)提出了“计算使能的综合神经科学”(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完整的了解。新工具和方法的融合，来自 从光遗传学到CRISPR再到深度神经网络建模和机器学习，IS 为解决一度看似棘手的问题提供了手段。麻省理工学院的BCS部门 理想的组织，以促进跨学科的神经科学和 行为，结合了现代分子、细胞、系统和行为的经验力量 方法，利用计算神经科学的理论和建模能力，以及 人工智能。CEIN拥有世界知名的教师和最先进的设备 学员们将准备领导下一代基础神经科学和翻译神经科学。 建议的CEIN培训计划保持了BCS长期的综合培训实力 不同层次的经验分析。此外，拟议的方案反映了在 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 目标侧重于三个培训支柱(1)在以下方面提出经验方法和概念 神经科学的多层次(2)理论发展和脑数据的计算方法 分析，以及(3)专业技能，如赠款撰写、口头演示和临床联系。 在麻省理工学院世界级的设施、资源和师资的支持下，博士前学生将实现 这些目标通过全面的课程作业、专业技能发展的新模块、 该领域专家的指导，以及先进的研究经验。 CEIN受训者的研究将导致关于大脑功能在健康方面的深刻新发现 以及它在疾病中失败的模式。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、听力损失等 在美国，其他对健康影响越来越大的疾病。 CEIN项目的重点是培养研究生头两年的学习能力。基金 要求在五年内每年支持11名博士前实习生。CEIN培训计划 将是麻省理工学院唯一的基础性神经科学博士前培训项目。