Under the theme of frontier in neuroinformatics and computational neuroscience, the 367th session of Xiangshan Science Conferences convened from March 23 to 25 in Beijing.
Information science has been penetrating into every corner of scientific research and economic activities in today¡¯s world. As a ¡°machine¡± for processing information, the human brain has arrested widespread attention from scientists, and neuroinformatics has become a key area for scientific competition among developed nations. As the neurobiological system has a far better capacity for processing information than modern technology, many scholars in informatics have turned to brain mechanism studies in hopes of seeking inspiration for breakthroughs in informatics. Could the computer replace the brain? What is the difference between them? Could artificial intelligence be finally realized? Could the brain be connected to a computer? Answers to these questions might be found in brain studies, which could lead to major breakthroughs in informatics. Attaining a rapid development, neuroscience has produced huge amount of research data. Experiments are not enough to understand them, so it is important to make clear links between these data and develop a system of artificial intelligence to address them. Therefore, theoretical studies of neuroinformatics and computational neuroscience have increasingly caught attention. The objective of computational neuroscience is to elaborate the computing mechanism of the brain by using mathematical models and approaches as tools. At present, neuroinformatics and computational neuroscience are justly at the beginning of their rapid advancement in the world. To timely follow scientific frontiers and international advanced levels in these fields, China should invest more resources so as to enable its scientists to make significant contributions to the studies in this regard.
Aiming at promoting theoretical and experimental studies of neuroscience in China and exploring ways of concentrating forces on key theoretical issues in the field, the meeting invited experts and scholars from various disciplines to have an in-depth discussion on the following issues:
1. How an uncertain and unstable neural system process information?
2. Theoretical and experimental bases for neural coding;
3. The brain¡¯s neurobiological basis for memory and decision-making; and,
4. Learning mechanism for a neurosystem and the application of complicated network in neurocomputing.
Executive co-chairs:
TANG Xiaowei, a professor from Zhejiang University
Mu Ming Poo, a research professor from the CAS Institute of Neuroscience
GUO Aike, a research professor from the CAS Institute of Neuroscience
WU Si, a research professor from the CAS Institute of Neuroscience
ZHAI Jian, a professor from Zhejiang University
LIANG Peiji, a professor from Shanghai Jiao Tong University
Keynote Review Lectures
The status quo of computational neuroscience, and its opportunities and challenges (Mu Ming Poo & WU Si)
Memory and decision-making of the brain (GUO Aike)
Reports on Central Topics
Coordinated discharge of neurons and neural information coding (LIANG Peiji)
How can an uncertain and unstable neural system realize a high sensitive test? (TONG Qinye)
Learning mechanism of the neural system (BI Guoqiang)
Explore the descriptive modes of a brain network, its features and possible applications from the aspect of network science (FANG Jinqing)
|