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.
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex Yiu Fai Sit PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009. Techni... 2009

Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann Neuron, 64:943-956, 2009. 2009

Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing Yiu Fai Sit and Risto Miikkulainen Neural Computation, 21(3):762--785, March 2009. 2009

A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes Yiu Fai Sit and Risto Miikkulainen Neurocomputing:1853-1857, 2007. 2007

Self-Organization of Hierarchical Visual Maps with Feedback Connections Yiu Fai Sit and Risto Miikkulainen Neurocomputing, 69:1309-1312, 2006. 2006

Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution Yiu Fai Sit and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005