• Professor, Computer Science & Engineering
Google Scholar Profile
Yoonsuck Choe

Educational Background

  • Ph.D. Computer Sciences, University of Texas at Austin, 2001
  • M.A. Computer Sciences, University of Texas at Austin, 1995
  • B.S. Computer Science, Yonsei University, 1993

Research Interests

    • Brain networks lab
    • Neural intelligence lab
    • Multi-scale modeling of mouse brain networks project
    • Topographica cortical map simulator project

Awards & Honors

  • 30th Anniversary Distinguished Alumni Award (one of 6 recipients), Department of Computer Science, Yonsei University, Seoul, Korea, May 2013
  • Charles H. Barclay, Jr. ’45 Fellow (College of Engineering Faculty Fellow), Texas A&M University, Spring 2013
  • Graduate Faculty Teaching Excellence Award, Department of Computer Science and Engineering, Texas A&M University, Spring 2012
  • Best Student Paper Award IEEE CIMSVP 2009
  • Best Scientific Paper Award ICPR 2008
  • Big 12 Faculty Fellowship, 2006
  • Graduate Teaching Excellence Award, Department of Computer Science, Texas A&M University, 2004

Selected Publications

  • Qinbo Li, Jaewook Yoo, and Yoonsuck Choe, “Emergence of Tool Use in an Articulated Limb Controlled by Evolved Neural Circuits,” In Proceedings of the International Joint Conference on Neural Networks, 2015. DOI: 10.1109/IJCNN.2015.7280564.
  • Yong Zhang, Peng Li, Yingyezhe Jin, and Yoonsuck Choe, “A Digital Liquid State Machine with Biologically Inspired Learning and Its Application to Speech Recognition,” IEEE Transactions on Neural Networks and Learning Systems, 26:2635-2649, 2015.
  • Jaewook Yoo, Jinho Choi, and Yoonsuck Choe, “Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study,” In Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July 2-4, 2014, pages 187-197. Springer, Heidelberg, 2014.
  • Jaewook Yoo, Jaework Kwon, and Yoonsuck Choe, “Predictable Internal Brain Dynamics in EEG and Its Relation to Conscious States,” Frontiers in Neurorobotics, 8(00018), 2014.
  • Yingwei Yu, Ricardo Gutierrez-Osuna, and Yoonsuck Choe, “Context-Sensitive Intra-Class Clustering,” Pattern Recognition Letters, 37:85-93, 2014.
  • Heeyoul Choi, Seungjin Choi, and Yoonsuck Choe, “Parameter Learning for Alpha-Integration,” Neural Computation, 25:1585-1604, 2013.
  • Timothy A. Mann, Yunjung Park, Sungmoon Jeong, Minho Lee, and Yoonsuck Choe, “Autonomous and Interactive Improvement of Binocular Visual Depth Estimation Through Sensorimotor Interaction,” IEEE Transactions on Autonomous Mental Development, 5:74-84, 2013.
  • J. Park, S. Kim, S. I. Park, Y. Choe, J. Li, and A. Han, “A Microchip for Quantitative Analysis of CNS Axon Growth Under Localized Biomolecular Treatments,” Journal of Neuroscience Methods, 221:166-174, 2013.
  • Yoonsuck Choe, Jaerock Kwon, and Ji Ryang Chung, "Time, Consciousness, and Mind Uploading," International Journal on Machine Consciousness, 4:257-274, 2012.
  • Ji Ryang Chung and Yoonsuck Choe, "Emergence of Memory in Reactive Agents Equipped with Environmental Markers," IEEE Transactions on Autonomous Mental Development, 3:257-271, 2011.
  • D. Mayerich, J. Kwon, C. Sung, L. C. Abbott, J. Keyser, and Y. Choe, "Fast Macro-Scale Transmission Imaging of Microvascular Networks Using KESM," Biomedical Optics Express, 2:2888-2896, 2011.
  • J. R. Chung, C. Sung, D. Mayerich, J. Kwon, D. E. Miller, T. Huffman, L. C. Abbott, J. Keyser, and Y. Choe, "Multiscale Exploration of Mouse Brain Microstructures Using the Knife-edge Scanning Microscope Brain Atlas," Frontiers in Neuroinformatics, 5:29, 2011.
  • Timothy A. Mann and Yoonsuck Choe, "Scaling Up Reinforcement Learning Through Targeted Exploration," In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011.
  • Timothy A. Mann and Yoonsuck Choe, "Prenatal to Postnatal Transfer of Motor Skills Through Motor-Compatible Sensory Representations," In Proceedings of the Ninth International Conference on Development and Learning, pp. 185-190, 2010.
  • Jaerock Kwon and Yoonsuck Choe. “Facilitating Neural Dynamics for Delay Compensation: A Road to Predictive Neural Dynamics?,” Neural Networks, 22:267-276, 2009.
  • Choonseog Park, Yoon H. Bai, and Yoonsuck Choe, “Tactile or Visual?: Stimulus Characteristics Determine Receptive Field Type in a Self-Organizing Map Model of Cortical Development,” In Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing, pp. 6-13, 2009. Best Student Paper Award.
  • Yoon H. Bai, Choonseog Park, and Yoonsuck Choe, “Relative Advantage of Touch Over Vision in the Exploration of Texture,” In Proceedings of the 19th International Conference on Pattern Recognition, pp. 1-4, 10.1109/ICPR.2008.4760961, 2008. Best Scientific Paper Award.
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