Workshop on Ying-Yang Computation for Brain, Behavior and Machine Learning

 

Georgia State University

http://www.gsu.edu/images/Downloadables/GaStateMap1104.pdf

 

Natural Science Center 441, (9:00 a.m. -12:15 p.m.), Tuesday Aug. 30, 2005

 

The workshop on Ying-Yang Computation for Brain, Behavior and Machine Learning, sponsored by the Brains&Behavior program (http://biology.gsu.edu/brains&behavior/index.html) at Georgia State University and the NIH P20 grant, is focused on Ying-Yang Computation and its applications in brains&behavior, machine learning, bioinformatics,  medical informatics, and health. To continue to promote the hybrid research and its applications, the special session on Ying-Yang Computation for Brain, Behavior and Machine Learning (http://www.cs.gsu.edu/~cscyqz/conf/CFP-SS2005.htm) at the Second International Conference on Neural Networks and Brain (ICNN&B2005, http://cnnc.org.cn/) will be held in Beijing, China, Oct. 13-15, 2005. Welcome to submit papers to the special session.

 

Ying-Yang (Yin-Yang, YinYang, Yin Yang or Ying Yang) Computation is a scientific computing methodology by extracting useful mathematical models from a traditional Ying-Yang theory. In recent years, a formal scientific basis has emerged that uncovered Ying-Yang to a universal theoretical methodology for different sciences and applications such as analytical methodology, divide-and-conquer, decision and coordination, brain science, biology, medicine, balance and harmony in human health and complex systems under uncertainty, etc. Ying and Yang, the two fundamental components of Taichi, are two symmetrical and complementary coexisting aspects of one matter that are mutually coupled in an equilibrium or even a harmony to jointly face a same world with shared tasks.  The balance or harmony between Ying and Yang is important and crucial to various complex systems such as the human brain and the human body in terms of stability, reliability, health, and robustness.

 

Relevant Research Areas (but are not limited to):

• Ying-Yang neural networks

• Ying-Yang kernel machines

• Ying-Yang mathematics

• Ying-Yang statistics

neurons & networks

adaptability & behavior

brains & social behavior

molecules & brains

neural networks, granular neural networks, statistical neural networks

• evolutionary computation, genetic algorithms, genetic neural networks

• statistical learning, support vector machines

• machine learning, data mining and knowledge discovery

• bioinformatics

• medical informatics and health systems

 

Registation: Please send an email to Bo Jin at bojin@gsu.edu by Thursday (8/25) if you’d like to attend the workshop.

 

 

Workshop Registration Chair

Bo Jin, Department of Computer Science, Georgia State University, bojin@gsu.edu

 

 

Workshop Chair

Yan-Qing Zhang, Department of Computer Science, Georgia State University, yzhang@cs.gsu.edu

 

 

 

Workshop Schedule (Room NSC441, Tuesday, Aug. 30, 2005)

9:00 – 9:02 a.m.:     Opening Remarks (Dr. Yi Pan, Chair of Department of  Computer Science, GSU, USA)

9:02 – 9:05 a.m.:     Workshop Introduction (Dr. Yan-Qing Zhang, Department of  Computer Science, GSU)

9:05 – 9:40 a.m.:     “Reverse-engineering animals and their nervous systems,” (Dr. Donald Edwards, Director of the Brains&Behavior Program, Department of Biology, GSU)

9:40 – 10:15 a.m.:   “Statistical Learning on Knowledge Discovery and Problem Solving: Fundamentals, Challenges, and A Unified Theory,” (Dr.  Lei Xu, IEEE Fellow, IAPR Fellow, Member of European Academy of Sciences, Chinese University of Hong Kong)

10:15 – 10:25 a.m.: Break

10:25 – 11:00 a.m.: “A binary classifier based on Ying-Yang concepts,” (Dr. Hyunsoo Kim, Georgia Tech)

11:00 – 11:35 p.m.: “Bipolar YinYang and Its Application in Neurological Modeling and Biomedical Research,” (Dr.  Wen-Ran Zhang, Georgia Southern University)

11:35 – 12:15 p.m.: “Tai Chi and Health,” (Dr. Tingsen Xu, President of Tai Chi Health and  Research Association, President of Tai Chi Research Center, Tai Chi Grand Master, Dr. Bob Wells, Emory University, and Dr. Yong Tai Wang, GSU)