Computationally Enabled Integrative Neuroscience

计算支持的综合神经科学

• 批准号: 10449137
• 负责人: James J DiCarlo
• 金额: $ 25.93万
• 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/10449137
• 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 ！ 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“计算型综合神经科学”（CEIN） 博士前培训计划。神经科学领域的巨大进步正在开始 实现对大脑的综合理解。新工具和方法的融合，来自 光遗传学、CLARITY、CRISPR、深度神经网络建模和机器学习，是 提供解决曾经看似棘手的问题的方法。麻省理工学院的BCS系是 组织得很好，可以促进神经科学和医学领域的跨学科、综合培训和研究 行为，结合了现代分子、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模型构建实力， 人工智能。 CEIN 拥有世界知名的师资队伍和最先进的设备 学员将准备引领下一代基础和转化神经科学。 拟议的 CEIN 培训计划保持了 BCS 长期以来的综合培训优势 跨层次的实证分析。此外，拟议的计划反映了 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 目标集中于三个培训支柱 (1) 推进实证方法和概念 神经科学的多个层次 (2) 理论发展和大脑数据的计算方法 分析，(3) 专业技能，如资助写作、口头报告和临床联系。 在麻省理工学院世界一流的设施、资源和师资的支持下，博士前学生将取得 通过全面的课程、专业技能发展的新模块来实现这些目标， 该领域专家的指导和先进的研究经验。 CEIN学员的研究将带来关于健康中大脑功能的深刻新发现 及其疾病失败的模式。 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 对美国健康影响越来越大的其他疾病。 CEIN 项目的重点是培养研究生前两年的学生。资金 要求在五年内每年支持 11 名博士前培训生。 CEIN培训计划 这将是麻省理工学院唯一的基础神经科学博士前培训项目。