Connectionists: Extended Deadline for ISABEL2006 (Inter. Symp. on Artificial Brain with Emotion and Learning)

[Soo-Young Lee]

Extended Deadline for 1-Page Summary : May 20, 2006

ISABEL 2006
International Symposium on Artificial Brain with Emotion and Learning
- Bio-Inspired Models and Hardware for Brain-like Intelligent Functions -

August 24-25, 2006
Seoul, Korea

www.isabel2006.org
isabel2006 at neuron.kaist.ac.kr

Organized by 
Brain Science Research Center, KAIST
Cognitive Science Research Center, Yonsei University
International Neural Network Society SIG-Korea

1. Topic and Goals

Topics include, but are not limited to,
-Models of auditory pathway 
-Models of visual pathway
-Models of cognition, learning, and inference
-Models of attention, emotion, and consciousness
-Models of autonomous behavior
-Hardware implementation of bio-inspired models
-Engineering applications of bio-inspired models 
 
This symposium aims to bring together international researchers from the 
cognitive neuroscience and engineering communities for biologically-inspired
models 
and system implementations with human-like intelligent functions. 
The previous meeting was held as a post-IJCNN Symposium on Bio-Inspired 
Models and Hardware (BIMH2005) at Montreal, Canada, on August 5, 2005.

Although artificial neural networks are based on information processing 
mechanisms in our brain, there still exists a big gap between 
the biological neural networks and artificial neural networks. 
The more intelligence we would like to incorporate into artificial 
intelligent systems, the more biologically-inspired models and hardware 
are required. Fortunately the cognitive neuroscience has been developed 
enormously during the last decade, and engineers now have more to learn from
the science.  

In this symposium we will discuss what engineers want to learn from the
science 
and how the scientists may be able to provide the knowledge. Then,
mathematical 
models will be presented with more biological plausibility. The hardware and

system implementation will also be reported with the performance comparison 
with conventional methods for real-world complex applications. A panel will 
be organized for the future research directions at the end.

This symposium will promote synergetic interaction among cognitive
neuroscientists, 
neural networks and robotics engineers, and result in more
biologically-plausible 
mathematical models and hardware systems with more human-like intelligent
performance 
in real-world applications.

2. Organizers

International Advisory Board
	
Hyung Suck Cho, KAIST
Chan-Sup Chung, Yonsei University
Rodney Douglas, ETH Zurich
Kunihiko Fukushima, Tokyo Univ. of Technology
Mun Sang Kim, KIST
Ho-Gil Lee, KITECH
Sukhan Lee, Sungkyunkwan University
Sang-Rok Oh, IITA
Harold Szu, George Washington University
Takeshi Yamakawa, Kyushu Inst. of Technology
Hyun-Seung Yang, KAIST
Donald C. Wunsch, University of Missouri Rolla
Bo Zhang, Tsinghua University

Symposium Co-Chairs

Soo-Young Lee, Director, Brain Science Research Center, KAIST
Yillbyung Lee, Director, Cognitive Science Research Center, Yonsei
University

Program Committee

Chair: Rhee-Man Kil, KAIST
Vice Chair: Minho Lee, Kyungpook National University

Members:
Allan Kardec Barros, Universidade Federal do Maranhao, Brazil
Vladimir Cherkassky, University of Minnesota - Twin Cities, USA
Sung-Bae Cho, Yonsei University, Korea
Young-Jo Cho, ETRI
Yoonsuck Choe, Texas A&M University, USA
Jin Young Choi,, Seoul National University, Korea
Key-Sun.Choi, KAIST, Korea
Seungjin Choi, Postech, Korea
Andrzej Cichocki, RIKEN Brain Science Institute, Japan
Wlodek Duch, Nicolaus Copernicus University, Poland
Ricardo Gutierrez-Osuna, Texas A&M University, USA
Zhenya He, Southeast University, China
Khan M. Iftekharuddin, University of Memphis, USA
Giacomo Indiveri, ETH Zurich, Switzerland
Cheongtag Kim, Seoul National University, Korea
Dae-Shik Kim, Boston University, USA
Ho Joon Kim, Handong University, Korea
Sung-il Kim, Korea University, Korea
Robert Kozma, University of Memphis, USA
Dong-Soo Kwon, KAIST, Korea
Daniel Lee, University of Pennsylvania, USA
Minho Lee, Kyungpook National University, Korea
Sanghoon Lee, Seoul National University, Korea
Seong-Whan Lee, Korea University, Korea
Te-Won Lee, University of California - San Diego, USA
Kichun Nam, Korea University, Korea
Se-Young Oh, Postech, Korea
Yong-Woon Park, ADD
Giulio Sandini, University of Genoa, Italy
Sebastian Seung, MIT, USA
Jang-Kyoo Shin, Kyungpook National University, Korea
Kwee-Bo Sim, Chungang University, Korea
Harold Szu, George Washington University, USA
Jun Tani	, RIKEN Brain Science Institute, Japan
Jun Wang, Chinese University of Hong Kong, China
Donald C. Wunsch, University of Missouri Rolla, USA
Bo Zhang, Tsinghua University, China
Mingsheng Zhao, Tsinghua University, China

3. Invited Speakers

Kunihiko Fukushima, Tokyo University of Technology, Japan
Visual Motion Analysis by a Neural Network

Daniel D. Lee, University of Pennsylvania, USA
Invariant manifold recognition of facial expression

Te-Won Lee, University of California - San Diego, USA
Independent Vector Analysis

Allan Kardec Barros, Universidade Federal do Maranhao, Brazil
Redundancy reduction: a strategy employed by the brain for information
processing?

Sebastian Seung, MIT, USA
Representing part-whole relationships in recurrent neural networks

Jun Wang, Chinese University of Hong Kong, China
Neurodynamic Optimization: Beyond of Convexity

Bo Zhang, Tsinghua University, China
Hierarchical Machine Learning - A learning methodology inspired by human's
intelligence

Mingsheng Zhao, Tsinghua University, China
The TAF Neuron Model and Learning Algorithms for the TAF Neural Networks

Wlodek Duch, Nicolaus Copernicus University, Poland
Neurocognitive Approach to Computational Creativity

Robert Kozma, University of Memphis, USA
Dynamical Systems Approach to Intentional Robots

Seiji Aoyagi, Department of Systems Management Engineering, Kansai
University, Japan
Recognition of Contact State by using Neural Network for Micromachined Array
Type Tactile 
Sensor

Giacomo Indiveri, ETH Zurich, Switzerland
Multi-chip reconfigurable networks of VLSI spiking neurons with spike-based
learning 
synapses

Giulio Sandini, University of Genoa, Italy
Humanoid babies

Jun Tani, RIKEN Brain Science Institute, Japan
Neuro-Cognitive Robotics: Experiments, Analysis and Interpretations

Dae-Shik Kim, Boston University, USA
Multiparametric Imaging of Brain Structure and Function

Seung-Schik Yoo, Harvard Medical School, USA
Brain-Computer-Interface using functional MRI: Thought-controlled Keyboard
and Mouse

4. Intended Audience

The symposium is aimed to be a high communicative forum for researchers 
from the cognitive neuroscience, artificial neural networks, and robotics
communities. 

The presentation papers will be solicited from the cognitive neuroscience, 
neural networks, and robotics communities. The members of the International 
Advisory Board and Program Committee had already agreed to submit their
papers 
for the presentation. However, the submitted papers will be fully refereed 
by the Program Committee and accepted based on the quality of the papers. 

5. Format

The symposium will go on two full days with oral session with invited and 
contributed presentations, and one panel discussion session. To encourage 
exchange of ideas at least 20 minutes will be allocated for each talk with 
additional 10 minutes. The balance between the science and engineering will 
be made for the speakers and panelists.

6. Publicity

The contributed papers will be solicited from the cognitive neuroscience, 
neural networks, and robotics communities though public list servers. 
Also, a dedicated homepage (www.isabel2006.org,
cnsl.kaist.ac.kr/isabel2006.htm) 
will be maintained, and several top researchers will be cordially invited 
through personal e-mails.

The prospective authors are invited to submit one page summary by e-mail 
to isabel2006 at neuron.kaist.ac.kr. Also, after acceptance, the presentation 
materials will be collected and made available to the attendees as a
booklet.

The extended version of the presented papers will be published as a special 
issue of the new online/offline journal, Neural Information Processing - 
Letters and Reviews (www.nip-lr.info), of which the Editor-in-Chief is the
Symposium Chair..

7. Important Dates

May 20, 2006		Extended Deadline for Summary (1 page)
June 20, 2006		Acceptance Notification
July 20, 2006		Camera-ready notes due 


We wish to thank the followings for their contribution to the success of
this conference:
Air Force Office of Scientific Research, Asian Office of Aerospace Research
and Development
International Neural Network Society