Yoonsuck Choe
Ph.D. Alumni, Masters Alumni
Yoonsuck's dissertation focused on self-organizing maps with spiking neurons, and in particular how perceptual grouping could be achieved through synchronization in such maps. He is a co-author of the book "Computational Maps in the Visual Cortex" and a co-editor of the book "Lateral Interactions in the Cortex: Structure and Function." After graduating he took on a job at the CS Department at the Texas A&M University, where he works on computational modeling of the brain, thalamocortical basis of analogy and cortical integration, and autonomous semantics in sensorimotor agents.
Homepage:
http://faculty.cs.tamu.edu/choe/
Publications
     [Expand to show all 13][Minimize]
Contour Integration and Segmentation with Self-Organized Lateral Connections 2004
Yoonsuck Choe and Risto Miikkulainen, Biological Cybernetics 90:75-88
Modeling Cortical Maps with Topographica 2004
James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tversky, Neurocomputing (2004), pp. 1129-1135.
The Role of Postsynaptic Potential Decay Rate in Neural Synchrony 2003
Yoonsuck Choe and Risto Miikkulainen, Neurocomputing, Vol. 52-54 (2003), pp. 707-712.
Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons 2001
Yoonsuck Choe, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 133. Technical Report AI01-292.
A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing 2000
Yoonsuck Choe and Risto Miikkulainen, Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000, Austin, TX), 123-128. Cambridge, MA: MIT Press, 2000
Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation 2000
Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack, Neurocomputing, Vol. 32--33 (2000), pp. 77-82.
A Self-Organizing Neural Network Model of the Primary Visual Cortex 1998
Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh, In Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), Volume 2, S. Usui, T. Omori (Eds.), pp. 815-818, Kitakyushu, Japan 1998.
Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons 1998
Yoonsuck Choe and Risto Miikkulainen, Neurocomputing (1998), pp. 139-157.
Self-Organization And Segmentation With Laterally Connected Spiking Neurons 1997
Yoonsuck Choe and Risto Miikkulainen, In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 1120-1125, Nagoya, Japan 1997. San Francisco: Kaufmann.
Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex 1997
Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh, In Perceptual Learning, R. L. Goldstone and P. G. Schyns and D. L. Medin (Eds.), pp. 257-308 1997.
Lateral Interactions In The Cortex: Structure And Function 1996
Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors), Electronic book, ISBN 0-9647060-0-8, http://nn.cs.utexas.edu/web-pubs/htmlbook96/. Austin, TX: The UTCS Neural Networks Research Group
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition 1996
Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen, In Advances in Neural Information Processing Systems 8, David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo (Eds.), pp. 736-742 1996. Cambridge, MA: MIT Press.
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition 1995
Yoonsuck Choe, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. 65. Technical Report AI95-236.
Projects
PGLISSOM: Perceptual Grouping in a Self-Organizing Map of Spiking Neurons 1999 - Present
Segmentation and Binding: the SLISSOM Model 1998 - 2002
Self-Organization in the Primary Visual Cortex: The RF-LISSOM Model 1995 - 1997
Self-Organization in the Primary Visual Cortex: The RF-LISSOM Model 1995 - 1997
LISSOM: Laterally Interconnected Self-Organizing Maps 1987 - 1997
Computational Maps in the Visual Cortex 1987 - 2009
Areas of Interest
Cognitive Science Computational Neuroscience Unsupervised Learning, Clustering, and Self-Organization Visual Cortex
Software/Data
PGLISSOM This package is a simulator for the PGLISSOM model of perceptual grouping and self-organization in the visual cortex. Th... 2002
Labs
Formerly affiliated with Neural Networks