IGERT: Emergent Functions of Neural Systems

这项综合性研究生教育与研究培训(IGERT)赠款支持在斯坦福大学思维、大脑和计算中心内创建一个新的跨学科研究生培训计划，内容是神经系统的紧急功能。将人类的心理能力，如感知、决策、学习和记忆，以及运动规划和动作理解为大脑活动的紧急后果，仍然是科学的主要挑战，应对这一挑战需要科学家将定量研究方法和实验研究方法结合起来。定量方法包括计算建模、应用数学和统计学；实验方法包括记录大脑从事精神活动时的大脑活动。该计划将培养下一代科学家，他们将通过将定量方法和实验方法相结合来应对这一挑战。学员可能来自斯坦福大学的计算机科学、电气工程、神经科学或心理学。每个学员将制定一个个性化的培训计划，以补充国内部门的博士课程，并将进行定量和实验方法相结合的研究。该项目将开发定量和计算神经科学方面的新课程，并将提供跨越学科界限的机会。这一IGERT将加强定量和计算方法的使用，这些方法对于旨在了解神经过程如何产生心理能力的研究取得突破性进展至关重要，它将加强心理学和神经科学学科与计算机科学、数学和工程学科之间的桥梁。受训者将继续从事职业生涯，在这些职业中，他们将提高行为和神经科学中定量和计算方法的专业知识，并将他们的专业知识传授给其他人。该计划将通过各种外展和网络活动招募妇女和代表性不足的群体，以追求职业生涯，将量化和计算方法结合起来，以了解精神和神经过程之间的关系。IGERT是一个NSF范围内的项目，旨在应对培养具有跨学科背景、所选学科的深厚知识以及满足未来职业需求所需的技术、专业和个人技能的美国博士科学家和工程师的挑战。该项目旨在通过建立创新的研究生教育和培训新模式，在超越传统学科界限的合作研究的肥沃环境中，催化研究生教育的文化变革。

This Integrative Graduate Education and Research Training (IGERT) grant supports the creation of a new interdisciplinary graduate training program in Emergent Functions of Neural Systems within the Center for Mind Brain and Computation at Stanford University. The effort to understand human mental abilities such as perception, decision making, learning and memory, and motor planning and action as emergent consequences of brain activity remains a major challenge of science, and meeting this challenge requires scientists who combine both quantitative and experimental research methods. Quantitative methods include computational modeling, applied mathematics, and statistics; experimental methods involve recording brain activity while the brain is engaged in mental activity. This program will train the next generation of scientists who will address this challenge by combining quantitative and experimental methods. Trainees may come from Computer Science, Electrical Engineering, Neuroscience, or Psychology at Stanford. Each trainee will formulate an individualized training plan that complements the home department doctoral program, and will pursue research combining quantitative and experimental methods. The program will develop new courses in quantitative and computational neuroscience, and will provide opportunities to bridge across disciplinary boundaries. This IGERT will strengthen the use of quantitative and computational methods that are crucial for breakthrough progress in research aimed at understanding how mental abilities arise from neural processes, and it will strengthen bridges between the disciplines of psychology and neuroscience and the disciplines of computer science, mathematics, and engineering. Trainees will go on to careers in which they will enhance expertise in quantitative and computational methods in the behavioral and neural sciences and pass their expertise on to others. The program will recruit women and underrepresented groups through a variety of outreach and networking activities to pursue careers combining quantitative and computational approaches to understand the relationship between mental and neural processes. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.