Workshop: Cold Spring Harbor Laboratory Computational Neuroscience: Vision Course

研讨会：冷泉港实验室计算神经科学：视觉课程

• 批准号: 0620017
• 负责人: David Stewart
• 金额: $ 2.2万
• 依托单位: Cold Spring Harbor Laboratory
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0620017&HistoricalAwards=false
• 关键词: Workshop; Cold; Spring; Harbor; Laboratory

This award supports a course on Computational Neuroscience - Vision given at the Cold Spring Harbor Laboratories. Computational approaches to neuroscience have produced important advances in the understanding of neural processing. The CSHL course emphasizes that an understanding of computational problems in conjunction with perceptual and biological data can lead to breakthroughs in neuroscience research. Through a combination of lectures and hands-on computer laboratory experience, this course covers: neural representation and coding; the neural basis of adaptation, color vision, pattern vision, form vision, and visual motion perception; statistics and neural encoding of natural scenes; visual attention; and decision making. There will be an emphasis on encoding and decoding of visual information, including processing of natural scenes, a burgeoning area of sensory and computational neuroscience. The course will be organized by J. Demb (Univ Michigan), E. Simoncelli (NYU) and S. Treue (Univ Gottingen). Lectures in the course will be given by the three organizers and by invited speakers who are working on current research frontiers and are leaders in their field. Invited speakers include: L. Abbott (Columbia) D. Brainard (Univ Penn), M. Carandini (Smith-Kettlewell Eye Research Institute), M. Carrasco (NYU), E.J. Chichilnisky (Salk Institute), Y. Dan (UC Berkeley), J. Gallant (UC Berkeley), W. Geisler (UT-Austin), P. Glimcher (NYU), D. Heeger (NYU), N. Kanwisher (MIT), M. Lewicki (Carnegie Mellon), J.A. Movshon (NYU), P. Reinagel (UCSD), D. Ringach (UCLA).The short, intensive nature of the course enables scientists to become rapidly immersed in the various concepts and techniques being taught and makes it possible for senior scientists and junior faculty as well as graduate students and postdoctoral fellows to attend. The students in the courses can then rapidly disseminate the techniques to others in their own laboratories. The courses are taught by a faculty who are fully active in and have made significant contributions to the areas under study. The value of these courses is reflected in the numbers and quality of the students who apply. Each year, far more applicants apply than can possibly be accommodated, and former students continue to recommend their own students or postdoctoral fellows for enrollment.

该奖项支持冷泉港实验室的计算神经科学-视觉课程。神经科学的计算方法在理解神经处理方面取得了重要进展。CSHL课程强调，结合感知和生物数据对计算问题的理解可以导致神经科学研究的突破。通过讲座和动手计算机实验室的经验相结合，本课程涵盖：神经表征和编码;适应，颜色视觉，模式视觉，形式视觉和视觉运动感知的神经基础;自然场景的统计和神经编码;视觉注意力;和决策。 重点将放在视觉信息的编码和解码上，包括自然场景的处理，这是感官和计算神经科学的新兴领域。该课程将由密歇根大学的J. Simoncelli（NYU）和S. Treue（Univ Gottingen）.课程的讲座将由三位组织者和受邀演讲者提供，他们正在研究当前的研究前沿，并且是各自领域的领导者。受邀演讲者包括：L. Abbott（哥伦比亚）D. Brainard（Univ Penn），M. Carandini（Smith-Kettlewell眼科研究所），M. Carrasco（NYU），E.J. Chichilnisky（Salk Institute），Y.丹（加州大学伯克利分校），J.格兰特（加州大学伯克利分校），W。Geisler（UT-Austin），P. Glimcher（NYU），D. Heeger（NYU），N. Kanwisher（MIT），M. Lewicki（Carnegie Mellon），J.A. Movshon（NYU），P. Reinagel（UCSD），D. Ringach（加州大学洛杉矶分校）。该课程的简短、密集性使科学家能够迅速沉浸在所教授的各种概念和技术中，并使高级科学家和初级教师以及研究生和博士后研究员能够参加。 然后，课程中的学生可以在自己的实验室中迅速将技术传播给其他人。这些课程由积极参与所研究领域并做出重大贡献的教师授课。这些课程的价值体现在申请学生的数量和质量上。每年，申请人数远远超过可能容纳的人数，以前的学生继续推荐自己的学生或博士后研究员入学。