제목: Extended Deadline for ISABEL2006
(Inter. Symp. on Artificial Brain with Emotion and Learning)
수신: 한국인지과학회 회원
문서번호: cogsci-28
첨부파일: CFPs_ISABEL2006.p6.pdf
Extended Deadline for ISABEL2006
(Inter. Symp. on Artificial Brain with Emotion and Learning)
금년 8월 서울 연세대에서 열리는 국제 심포지움입니다.
많은 참가를 부탁드립니다.
Extended Deadline for 1-Page Summary : May 20, 2006
ISABEL 2006International Symposium on Artificial Brain with Emotion and Learning- Bio-Inspired Models and Hardware for Brain-like Intelligent Functions -
August 24-25, 2006Seoul, Korea
www.isabel2006.orgisabel2006@neuron.kaist.ac.kr
Organized by Brain Science Research Center, KAISTCognitive Science Research Center, Yonsei UniversityInternational 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, KAISTChan-Sup Chung, Yonsei UniversityRodney Douglas, ETH ZurichKunihiko Fukushima, Tokyo Univ. of TechnologyMun Sang Kim, KISTHo-Gil Lee, KITECHSukhan Lee, Sungkyunkwan UniversitySang-Rok Oh, IITAHarold Szu, George Washington UniversityTakeshi Yamakawa, Kyushu Inst. of TechnologyHyun-Seung Yang, KAISTDonald C. Wunsch, University of Missouri RollaBo Zhang, Tsinghua University
Symposium Co-Chairs
Soo-Young Lee, Director, Brain Science Research Center, KAISTYillbyung Lee, Director, Cognitive Science Research Center, Yonsei University
Program Committee
Chair: Rhee-Man Kil, KAISTVice Chair: Minho Lee, Kyungpook National University
Members:Allan Kardec Barros, Universidade Federal do Maranhao, BrazilVladimir Cherkassky, University of Minnesota - Twin Cities, USASung-Bae Cho, Yonsei University, KoreaYoung-Jo Cho, ETRIYoonsuck Choe, Texas A&M University, USAJin Young Choi,, Seoul National University, KoreaKey-Sun.Choi, KAIST, KoreaSeungjin Choi, Postech, KoreaAndrzej Cichocki, RIKEN Brain Science Institute, JapanWlodek Duch, Nicolaus Copernicus University, PolandRicardo Gutierrez-Osuna, Texas A&M University, USAZhenya He, Southeast University, ChinaKhan M. Iftekharuddin, University of Memphis, USAGiacomo Indiveri, ETH Zurich, SwitzerlandCheongtag Kim, Seoul National University, KoreaDae-Shik Kim, Boston University, USAHo Joon Kim, Handong University, KoreaSung-il Kim, Korea University, KoreaRobert Kozma, University of Memphis, USADong-Soo Kwon, KAIST, KoreaDaniel Lee, University of Pennsylvania, USAMinho Lee, Kyungpook National University, KoreaSanghoon Lee, Seoul National University, KoreaSeong-Whan Lee, Korea University, KoreaTe-Won Lee, University of California - San Diego, USAKichun Nam, Korea University, KoreaSe-Young Oh, Postech, KoreaYong-Woon Park, ADDGiulio Sandini, University of Genoa, ItalySebastian Seung, MIT, USAJang-Kyoo Shin, Kyungpook National University, KoreaKwee-Bo Sim, Chungang University, KoreaHarold Szu, George Washington University, USAJun Tani , RIKEN Brain Science Institute, JapanJun Wang, Chinese University of Hong Kong, ChinaDonald C. Wunsch, University of Missouri Rolla, USABo Zhang, Tsinghua University, ChinaMingsheng Zhao, Tsinghua University, China
3. Invited Speakers
Kunihiko Fukushima, Tokyo University of Technology, JapanVisual Motion Analysis by a Neural Network
Daniel D. Lee, University of Pennsylvania, USAInvariant manifold recognition of facial expression
Te-Won Lee, University of California - San Diego, USAIndependent Vector Analysis
Allan Kardec Barros, Universidade Federal do Maranhao, BrazilRedundancy reduction: a strategy employed by the brain for information processing?
Sebastian Seung, MIT, USARepresenting part-whole relationships in recurrent neural networks
Jun Wang, Chinese University of Hong Kong, ChinaNeurodynamic Optimization: Beyond of Convexity
Bo Zhang, Tsinghua University, ChinaHierarchical Machine Learning - A learning methodology inspired by human's intelligence
Mingsheng Zhao, Tsinghua University, ChinaThe TAF Neuron Model and Learning Algorithms for the TAF Neural Networks
Wlodek Duch, Nicolaus Copernicus University, PolandNeurocognitive Approach to Computational Creativity
Robert Kozma, University of Memphis, USADynamical Systems Approach to Intentional Robots
Seiji Aoyagi, Department of Systems Management Engineering, Kansai University, JapanRecognition of Contact State by using Neural Network for Micromachined Array Type Tactile Sensor
Giacomo Indiveri, ETH Zurich, SwitzerlandMulti-chip reconfigurable networks of VLSI spiking neurons with spike-based learning synapses
Giulio Sandini, University of Genoa, ItalyHumanoid babies
Jun Tani, RIKEN Brain Science Institute, JapanNeuro-Cognitive Robotics: Experiments, Analysis and Interpretations
Dae-Shik Kim, Boston University, USAMultiparametric Imaging of Brain Structure and Function
Seung-Schik Yoo, Harvard Medical School, USABrain-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@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 NotificationJuly 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 DevelopmentInternational Neural Network Society |
