I. First Special Issue on Cognitive Dynamic Systems
Published by Proc. IEEE (download the table of contents).
II. COLLABORATIVE WORK WITH INDUSTRY
1. White paper on Cognitive Radar Information Networks for security along the Great Lakes, Collaborator: Accipiter Radar Technology.
III. BOOKS
1. S. Haykin, Adaptive Filter Theory, 5th Edition, Prentice Hall, 2013.
2. S. Haykin, Digital Communication Systems, John Wiley and Sons, 2013.
3. S. Haykin, Cognitive Dynamic Systems, Cambridge Univerity Press, March 2012. (The first book written on this integrative new field.)
IV. PAPERS
1. S. Haykin and J.M. Fuster, On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other, Proc. IEEE, Special Issue on Cognitive Dynamic Systems, April 2014.
2. A. Amiri and S. Haykin, Improved Sparse Coding under the Influence of Perceptual Attention, Neural Computation Journal, MIT-Press, February 2014.
3. S. Haykin and P. Setoodeh, Cognitive Radio Networks: The Supply Chain Paradigm, second revision.
4. F. Khozeimeh and S. Haykin, Self-organized Dynamic Spectrum Management for Ad Hoc Networks, IEEE Trans. on Wireless Communications, under review.
5. S. Haykin, Y. Xue, and P. Setoodeh, "Cogitive Radar: Step Toward Bridging Gap Between Neuroscience and Engineering," Proc. IEEE, 2012, to be published.
6. S. Haykin, M. Fatemi, Y. Xue, and P. Setoodeh, "Cognitive Control," Proc. IEEE, submitted.
7. M. Fatemi and S. Haykin, "On Reinforcement Learning and Planning in Cognitive Control", IEEE Trans. on Neural Networks and Learning Systems.
8. P. Setoodeh and S. Haykin, “Double-layer dynamics of cognitive radio networks,” The First IEEE International Workshop on Emerging COgnitive Radio Applications and aLgorithms (CORAL), San Francisco, June 2012.
9. P. Setoodeh and S. Haykin, “Dynamic spectrum supply chain model for cognitive radio networks,” The First IEEE International Workshop on Emerging COgnitive Radio Applications and aLgorithms (CORAL), San Francisco, June 2012.
V. INVITED LECTURES
1. S. Haykin, "Cognitive Dynamic Systems: Cognitive Control," 2nd International Symposium on Innovative Mathematical Modeling, University of Tokyo, Japan, May 15, 2012.
2. S. Haykin, "Cognitive Control," RIKEN Institute, Tokyo, Japan, May 21, 2012
Proceedings of the First International Workshop on
Cognitive Dynamic Systems and Their Application
May 26 - 28, 2008, Niagara-on-the-Lake, Ontario
[GENERAL INFORMATION ] [DAY ONE ] [DAY TWO ] [DAY THREE ]
- The Ontario Automotive Industry and Opening Remarks
Ken Albright, Director, Automotive Strategy Branch, Ministry of Economic Development and Trade, Ontario - Cognitive Dynamic Systems: A Way of the Future for the 21st Century
Simon Haykin, McMaster University - Affinity Propagation: New Algorithms, Results and Applications
Brendan Frey, University of Toronto - Differentiation and Disintegration of Conceptual Knowledge with Learned Distributed Representations
Jay McClelland, Stanford University - Neuro-computational Models of Perceptual Categorization: From Learning to Automaticity
F. Gregory Ashby, University of California at Santa Barbara - The Cognitive Genome
David Krakauer, Santa Fe Institute
- Revisiting WiFi in the Cognitive Radios Era
Victor Bahl, Microsoft Research - Vision as Bayesian Inference: Analysis by Synthesis
Allan L. Yuille, UCLA - Learning Hierarchical Representations of Natural Images
Michael Lewicki, Carnegie Mellon University - Discovering Neural Codes using Temporal Data Mining Methods
K. P. Unnikrishnan, General Motors, R&D Center - Variable Structure Systems and Cognition
Saeid Habibi, McMaster University and Jimi Tjong, Ford Motor Company - Test and Evaluation of Cognitive and Social Capabilities of Collaborative Unmanned Autonomous Vehicles
Nikita Visnevski, GE Global Research
- Cognitive Cars, Nomadic Devices and Smart Clouds
K. Venkatesh Prasad, Ford Motor Company - Neuro Mechanical Networks and Design Information Entropy
Petter Krus, Linköping University - Environment for Cognitive Automobile
Mohamed Shawky, UTC