Saturday Dec. 15 - Sunday Dec. 16, 2012
Fudan University
Shanghai, China

Co-sponsored and co-organized by
Fudan University
Institute of Computing Technology, Chinese Academy of Sciences
Beijing University

Brain-mind research is undergoing cross-disciplinary interactions. It requires the synergy and penetration of multiple disciplines, including biology, neuroscience, psychology, computer science, electrical engineering, mathematics, and other disciplines.

In order to exchange latest progress in leading research on this broad subject and to provide a platform for scientific education and discussion, the Brain-Mind Workshop (BMW) 2012 is held based on the success of Brain-Mind Workshop 2011.

Some Confirmed Keynote Talks:

• The Gating Role of the Intermediate Level Visual Mechanisms in Object and Space Perception
  Zijiang J He, University of Louisville, USA and East China Normal University, China
  
  
• Brainnetome: A New Avenue to Understand the Brain Disorders
  Tianzi Jiang, LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition,
  Institute of Automation, Chinese Academy of Sciences
  

• Task-Dependent Effects of Perceptual Decision and Learning
  Sheng Li, Department of Psychology, Peking University
  

• Mind Computation
  Zhongzhi Shi, Institute of Computing Technology, Chinese Academy of Sciences
  
  
• Experience-Dependent and Brain State-Dependent Processing in the Visual Cortex
  Haishan Yao, Institute of Neuroscience, Chinese Academy of Sciences
  
  
• Visual Perceptual Learning and Its Specificity and Transfer: A New Perspective
  Cong Yu, Department of Psychology and Peking-Tsinghua Center for Life Sciences, Peking University
  

• Molecular Mechanism Underlying Intrinsic and Activity-Dependent Dendrite Development and Neural Circuit Formation
  Xiang Yu, Institute of Neuroscience, Chinese Academy of Sciences
  
  
• Endothermia Facilitates Evolution of Large Brains
  Yuguo Yu, Center for Computational Systems Biology, Fudan University

• The Cortical Loci and Integration from Local Cues to Global Representations
  Wei Wang, Institute of Neuroscience, Chinese Academy of Sciences
  

• Olfactory Processing in Drosophila Attenal Lobes
  Zuoren Wang, Institute of Neuroscience, Chinese Academy of Sciences
  
  
• Can Natural Intelligence and Artificial Intelligence Be Unified?
  Juyang Weng, Fudan University, China and Michigan State University, USA
  
  
• Brain Computer Interfaces and Neurofeedback for Motor Functional Rehabilitation
  Liqing Zhang, MOE-MSRA Joint Lab for Intelligent Computing and Intelligent Systems
  Department of Computer Science and Engineering, Shanghai Jiao Tong University
  

We welcome professors, researchers, and graduate students who are interested in all related subjects to participate in this workshop.

All subjects that are related to brain or mind are welcome, especially those that have a potential to lead to synergies across different disciplines. They include, but are not limited to:

1. Biological principles of biochemistry, genetics, cells. The structure and regulation of genes, the structure and synthesis of proteins, how molecules are integrated into cells, how these cells are integrated into multicellular systems and organisms.
2. Principles underlying the structure and function of the nervous system. Development of the nervous system and its connections, sensory systems, motor systems, motivational systems, higher cortical functions. Pain, stress, depression, ADD/ADHD, and addiction.
3. The behavioral and neural bases of perception, language, emotion, learning, memory, cognition, cognitive architecture, reasoning, decision-making, and cognitive development, personality, psychopathology, and social interaction.
4. Biologically inspired artificial intelligence. Automata related to brain-mind. Pattern recognition principles. Symbolic and emergent representations. Machine learning and developmental learning.
5. Biologically inspired signal processing and controller techniques. Digital and analog circuits. Very-large-scale integrated circuits. Neural network computers and architectures.
6. Vectors and vector space. Linear space and nonlinear space. Functional analysis. Probability, density, distribution. Multivariate distribution. Entropy and mutual information. Statistical estimators and optimal estimation.

The participations are by invitation only. Those who are doing closely related work and would like to be invited to give a talk, please send the title, name, organization, e-mail address, telephone number, abstract (about 200 words) and a short bio (up to 200 words) to jianfeng.feng@warwick.ac.uk, shizz@ics.ict.ac.cn, yucong@pku.edu.cn, xyxue@fudan.edu.cn, or hongboyu@fudan.edu.cn, with a CC to weng@cse.msu.edu by Friday Nov. 30, 2012.

Those who are interested in participation, please send the name, organization, e-mail address, telephone number, and a short bio (up to 200 words) to wqzhang@fudan.edu.cn by Saturday Dec. 8, 2012.

Important dates:

Friday Nov. 30, 2012: Showing interest in giving a talk
Saturday, Dec. 8, 2012: Showing interest in participation