Neural Network Models of the Human Mind: Thinking, Decision Making, and Social Interaction

• Date: Tuesday, June 16, 2009
• Time: 5:10 pm to 6:10 pm
• Venue: TBA

• Dan Levine, Department of Psychology, University of Texas at Arlington
• Ron Sun, Department of Computer Science, Rensselaer Polytechnic Institute

• Vincent Brown, Department of Psychology, Hofstra University
• Daniel Bullock, Cognitive & Neural Systems Department, Boston University
• Sebastien Helie, Department of Computer Science, University of California, Santa Barbara
• Ron Sun, Department of Computer Science, Rensselaer Polytechnic Institute
• Dan Levine, Department of Psychology, University of Texas at Arlington
• Ping Li, Department of Psychology and Center for Language Science, Pennsylvania State University
• Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Department of Computer Science, University of Cincinnati
• Simona Doboli, Department of Computer Science, Hofstra University
• John G. Taylor, Centre for Neural Networks, Kings College, University of London

• Integrating the Cognitive and the Social: Modeling Group Idea Generation
  • Vincent Brown, Department of Psychology, Hofstra University
• Computational Implications of Microcircuit Specializations in Forebrain Circuits for Motivated Action Selection
  • Daniel Bullock, Cognitive & Neural Systems Department, Boston University
• Creative Thinking in Problem Solving
  • Sebastien Helie, Department of Computer Science, University of California, Santa Barbara
  • Ron Sun, Department of Computer Science, Rensselaer Polytechnic Institute
• Executive Function, Rule Selection, and Probability Judgment
  • Daniel S. Levine, Department of Psychology, University of Texas at Arlington
• Neurolinguistic Computational Models: Dynamic Self-Organization in Language Acquisition


  • Ping Li, Department of Psychology and Center for Language Science, Pennsylvania State University
• Dynamical Models of Individual and Group Ideation
  • Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Department of Computer Science, University of Cincinnati
  • Simona Doboli, Department of Computer Science, Hofstra University
• Cognitive Architectures and Social Processes
  • Ron Sun, Department of Computer Science, Rensselaer Polytechnic Institute
• Neural Architectures for Thinking and Reasoning
  • John G. Taylor, Centre for Neural Networks, Kings College, University of London

Government Interests in Neural Network Research

• Date: Monday, June 15, 2009
• Time: 11:40 am – 12:40 pm
• Venue: TBA

The panel discusses government funded research in neural networks as well as research conducted in government laboratories. The purpose is to strengthen the bridge between government, academic, and commercial communities in the area of neural network research. Funding and job opportunities are discussed. Panelists include a US Congress advisor, researchers and program managers from the US and non-US government organizations.

• Leonid Perlovsky, Air Force Research Laboratory, and Visiting Scholar, Harvard University

• Jim DeLeo, National Institutes of Health Clinical Center
• Leonid Perlovsky, Air Force Research Laboratory
• Paul Werbos, National Science Foundation
• Slawomir Wesolkowski, University of Waterloo

• 11:40 am - 12:10 pm, panelist presentations
• 12:10 pm - 12:40 pm, discussion

Celebrating the 50th Anniversary of the Invention of the LMS Algorithm

• Date: Wednesday, June 17, 2009
• Time: 10:30 am to 12:30 pm
• Venue: TBA

This year marks the 50th anniversary of the invention of the least mean squares (LMS) algorithm by Drs. Bernard Widrow and Ted Hoff. A special panel session will be held to celebrate 50 years of the LMS algorithm at the 2009 International Joint Conference on Neural Networks (IJCNN). The special panel session will provide conference attendees a unique and exciting opportunity to interact with the inventors of the algorithm, and to hear comprehensive reflections on the LMS algorithm from a distinguished panel including Dr., The panel will discuss the historical value of the algorithm especially its applications in the adaptive signal process and telecommunication industry such as adaptive equalization and echo cancellation. The panelists will also make themselves available to answer questions and providing behind the scenes stories on this important invention. Also at IJCNN 2009, there will be exhibits of photographs and memorabilia related to LMS from the 1960's.

• Jennie Si, Department of Electrical Engineering, Arizona State University
• Robert Kozma, Department of Computer Science, University of Memphis
• Irwin King, Department of Computer Science and Engineering, The Chinese University of Hong Kong

• Bernard Widrow, Stanford University
• Ted Hoff, University of California, Los Angeles (UCLA)
• Ali Sayed, University of California, Los Angeles (UCLA)
• John Treichler, Applied Signal Technology
• Rick Johnson, Cornell University
• Lloyd Griffiths, George Mason University

*Panel on EFRI-COPN Projects * Date: Monday, June 15, 2009 * Time: TBA * Venue: TBA === Panel Moderator === * Ganesh K. Venayagamoorthy**, Missouri University of Science and Technology

*/