IGERT: Emergent Functions of Neural Systems

这一综合研究生教育和研究培训（IGERT）补助金支持在斯坦福大学的大脑和计算中心内创建一个新的跨学科研究生培训计划。 努力理解人类的心理能力，如感知，决策，学习和记忆，以及运动规划和行动作为大脑活动的紧急后果仍然是科学的一个重大挑战，迎接这一挑战需要科学家谁联合收割机结合定量和实验研究方法。 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心理活动时的大脑活动。 该计划将培养下一代科学家，他们将通过结合定量和实验方法来应对这一挑战。 学员可能来自斯坦福大学的计算机科学、电气工程、神经科学或心理学专业。 每个学员将制定一个个性化的培训计划，补充内政部博士课程，并将追求定量和实验方法相结合的研究。 该计划将开发定量和计算神经科学的新课程，并将提供跨越学科界限的机会。IGERT将加强定量和计算方法的使用，这些方法对于旨在了解心理能力如何从神经过程中产生的研究取得突破性进展至关重要，并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，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他人。 该计划将通过各种推广和网络活动招募女性和代表性不足的群体，以追求结合定量和计算方法的职业生涯，以了解心理和神经过程之间的关系。IGERT是一个NSF范围内的计划，旨在满足教育美国博士的挑战。具有跨学科背景的科学家和工程师，在所选学科的深厚知识，以及未来职业需求所需的技术，专业和个人技能。该计划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促进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.