Saturday Dec. 21 - Sunday Dec. 22, 2013
Room 2201, East Guanghua Tower
Fudan University
220 Handan Road
Shanghai, China

Co-sponsored and co-organized by
Fudan University
Institute of Automation, Chinese Academy of Sciences
Xi'an Jiaotong 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) 2013 is held based on the success of BMW 2012 and BMW 2011.

Some confirmed invited talks:

• Feedback of the Amygdala Globally Modulates Visual Response of Primary Visual Cortex in the Cat
  Hongbo Yu, Vision Research Laboratory, Center for Brain Science Research and School of Life Sciences, Fudan University, Shanghai, China
  
  
• Unsupervised Learning: Low-dimensional Embedding and Data Clustering are Equivalent
  Chris H. Q. Ding, Anhui University, Hefei, China, and University of Texas at Arlington, Arlinton, Texas USA
  
  
• The Cortical Loci and Integration from Local Cues to Global Representations
  Wei Wang, Institute of Neuroscience Chinese Academy of Sciences, Shanghai, China
  
  
• A Retina-Inspired Neurocomputing Circuit for Image Representation
  Hui Wei, Fudan University, Shanghai, China
  
  
• Prefrontal Cortex and Schizophrenia
  Yuan-Ye Ma, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
  
  
• Anatomical and Functional Specialization of the Human Cerebral Hemispheres
  Qing Cai, the Institute of Cognitive Neurocience, East China Normal University, Shanghai, China
  
  
• Brain Networks: Pivotal Intermediate Phenotypes Connecting Genome and Psychiatric Disorders
  Bing Liu, Brainnetome Center, Institute of Automation, the Chinese Academy of Sciences, Beijing, China
  
  
• Mind-Brain Association Studies with Mesoscale Connectomics: Methodology, Reproducibility and Challenges
  Xi-Nian Zuo, Institute of Psychology, Chinese Academy of Sciences, China
  
  
• Lateral Inhibition Revisited and its Inspiration to Extreme Learning Machines, Deep Learning and Developmental Networks
  Jun Miao, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
  
  
• A Neural Circuitry View for Autism Spectrum Disorders
  Zilong Qiu, Institute of Neuroscience Chinese Academy of Sciences, Shanghai, China
  
  
• How Brain-Mind Works with Vision but Beyond: Introduction to a Whole-Brain Theory
  Juyang Weng, Fudan University, Shanghai, China and Michigan State University, East Lansing, Michigan USA
  
  

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 your preferred Program Co-Chair with a CC to weng@cse.msu.edu.

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 with a CC to weng@cse.msu.edu.

Nearby hotels:
Qing Yun Hotel (卿云宾馆): 220 Handan Road, Fudan University campus, Shanghai (上海市杨浦区邯郸路220号复旦校内).
Tel: (021)65642249
Fu Xuan Hotel (复宣酒店): 400 Guoding Road, Fudan University campus, Shanghai (上海市杨浦区国定路400号复旦校内).
Tel: (021)55589518
For more detail and other alternatives: http://map.baidu.com/, click search nearby for hotels.

Important dates:
Saturday Dec. 14, 2013: Showing interest in giving a talk
Sunday, Dec. 15, 2013: Showing interest in participation