Yiu Fai Sit
Ph.D. Alumni
Sit's research focuses on understanding how the visual cortex encodes information, through mathematical and computational modeling. Much of this work is grounded on data using optical imaging with voltage-sensitive dyes (VSDI). Eyal Seidemann of UT Psychology was his dissertation co-advisor.
Homepage:
http://www.cs.utexas.edu/users/yfsit
Publications
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex 2009
Yiu Fai Sit, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. Technical Report AI09-06.
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model 2009
Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann, Neuron, Vol. 64 (2009), pp. 943-956.
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing 2009
Yiu Fai Sit and Risto Miikkulainen, Neural Computation, Vol. 21, 3 (2009), pp. 762--785.
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes 2007
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing (2007), pp. 1853-1857.
Self-Organization of Hierarchical Visual Maps with Feedback Connections 2006
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1309-1312.
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution 2005
Yiu Fai Sit and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Projects
Learning Navigation for Personal Satellite Assistant using Neuroevolution 2004 - Present
Areas of Interest
Computational Neuroscience Neuroevolution Neuroimaging Robotics Unsupervised Learning, Clustering, and Self-Organization Visual Cortex
Labs
Formerly affiliated with Neural Networks