时间： 2014-09-24 15:00
地点：bet48365365 159
报告人：Klaus Obermayer 教授
主持人：谢松云 教授
报告题目：计算神经科学：对基于奖励模式的学习的定量分析方法
Computational Neuroscience: Quantitative Approaches Towards Reward-based Learning
摘要/Abstract:
Computational Neuroscience is a fairly recent field of research, where mathematical concepts and computational tools are being developed and applied to better understand brain function. In my presentation I would like to illustrate the potential of those theoretical approaches to specifically understand reward-based learning and decision making in humans.
In the first part I will discuss, how stimulus statistics and reward influence human performance in a perceptual decision making task. Combining behavioral, neurophysiological and neurocomputational approaches I will provide evidence, that early attentional mechanisms are involved in integrating this high-level information. Our results indicate, that "cognitive" quantities influence sensory processing already at its earliest stages. This hypothesis will be further investigated within the joint NPU-TUB laboratory.
In the second part I will discuss, how standard reinforcement learning can be extended to include risk, when agents face decision-making tasks in uncertain environments. In order to do so, I will present a theoretical framework, which accounts for the different "subjective" perceptions agents may have about the "objective" properties of the environment. The framework is then applied to quantify human behavior in a sequential investment task and to interpret neural activations which were simultaneously recorded by functional MRI.
报告人简介/Bio:
Klaus Obermayer received his Diplom degree in physics in 1987 from the University of Stuttgart, Germany, and the Dr. rer. nat. degree in 1992 from the Department of Physics, Technical University of Munich, Germany.
From 1992 and 1993 he was a postdoctoral fellow at the Rockefeller University, New York, and the Salk Institute for Biological Studies, La Jolla, USA. From 1994 to 1995 he was member of the Technische Fakultaet, University of Bielefeld, Germany. He became associate professor in 1995 and full professor in 2001 at the Department of Electrical Engineering and Computer Science of the Berlin University of Technology, Germany. He is head of the Neural Information Processing Group and member of the steering committee of the Bernstein Center for Computational Neuroscience Berlin.
Since 2005 he is also guest professor at NPU. He was member of the governing board of the International Neural Network Society from 2004 - 2012 and was Vice-President of the Organisation for Computational Neuroscience from 2008-2011. From 1999-2003 he was one of the directors of the European Advanced Course of Computational Neuroscience. His current areas of research are computational neuroscience, artificial neural networks and machine learning, and the analysis of neural data. He co-authored more than 250 scientific publications.
Klaus Obermayer：
1987年毕业于德国斯图加特大学物理系；
1992年毕业于德国慕尼黑工业大学物理系，获得自然科学博士学位。
1992~1993年，于在美国纽约洛克菲勒大学和拉霍亚索尔克生物研究所攻读博士后研究员。
1994~1995年，工作于德国比勒费尔德大学。
1995年，工作于德国的柏林大学在电气工程和技术计算机科学系，副教授。
2001年，正教授，成为神经信息处理小组组长，加入柏林计算神经科学伯恩斯坦中心的指导委员会。
2005年，受聘为西北工业大学客座教授。
1999-2003年，《计算神经科学》欧洲高级课程董事。
2004 - 2012年，国际神经网络学会理事会成员，并在2008-2011年担任理事会副主席
研究领域：计算神经科学、神经网络、机器学习和神经信号分析。共发表出版物250余篇。
