Lee, T.S., Yuille, A (2006) Efficient coding of visual scenes by grouping and segmentation: theoretical predictions and biological relevance. in  Bayesian Brain, probabilistic approaches to neural coding.  Ed. K. Doya, S. Ishii, R. Rao, A. Pougeti. MIT Press.

Potetz, B., Lee, T.S. (2006) Scaling Laws in Natural Scenes and the Inference of 3D Shape. NIPS - Advances in Neural Information Processing Systems 19, MIT Press. (PDF)

Yu, Y., Romero, R., Lee, T.S. (2005) Preference of sensory neural coding for 1/f signals. Physics Review Letters, 94 , 108103, 1-4. (PDF)

Yu, Y., Lee, T.S. (2005) Adaptive contrast gain control and information maximization. Neurocomputing, 65-66(2005): 111-116. (PDF)

Yu, Y., Potetz, B., Lee, T.S. (2005) The role of spiking nonlinearity in contrast gain control and information transmission. Vision Research, 45(2005): 583-592. (PDF)

Stepleton, T., Lee, TS (2005) Using Co-occurrence and Segmentation to Learn Feature-based Object Models from Video. WACV/MOTION 2005, 129-134. (PDF)

Deco, G. and Lee, T.S. (2004) The role of early visual cortex in visual integration: a recurrent neural network model. European Journal of Neuroscience 20: 1089-1100. (PDF)

Kelly, R. and Lee, T.S. (2003) Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels. Advances in Neural Information Processing Systems, MIT Press. In Press. (PDF)

Kelly, R. and Lee, T.S. (2003) Decoding visual input based on V1 neuronal activities with particle filtering. Neurocomputing. In Press. (PDF)

Yu, Y. and Lee, T.S. (2003) Nonlinear dynamics of spike generation account for contrast adaptation. Neurocomputing. In Press.

Lee, T.S., Mumford, D. (2003) Hierarchical Bayesian inference in the visual cortex. Journal of Optical Society of America, A. . 20(7): 1434-1448. (PDF)

Yu, Y., Lee, T.S. (2003) Dynamical mechanisms underlying contrast gain control in single neurons. Physics Review, E.. 68(1): 1901-1907. (PDF)

Potetz, B., Lee, T.S. (2003) Statistical correlations between 2D images and 3D structures in natural scenes. Journal of Optical Socity of America, A. . 20(7): 1292-1303. (PDF)

Lee, T.S. (2003) Computations in the early visual cortex. J. Physiology (Paris) , 97(203), 121-139. (PDF)

Romero, R.D., Yu, Y., Afshar, P., Lee, T.S. (2003) Adaptation of the temporal receptive fields of Macaque V1 neurons Neurocomputing (52-54): 135-140. (PDF)

Yu, Y., Lee, T.S. (2003) Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model. Neurocomputing (52-54): 441-445. (PDF)

Lee, T.S., Yang, C., Romero, R.D., and Mumford, D. (2002) Neural activity in early visual cortex reflects behavioral experience and higher order perceptual saliency. Nature Neuroscience 5(6) . 589-597. (PDF)

Lee, T.S. (2002) The nature of illusory contour computation. Neuron 33(5) 667-668. (PDF)

Lee, T.S. (2002) Top-down influence in early visual processing: A Bayesian perspective. Behaviors and Physiology 77(4-5): 645-650. (PDF)

Romero, R., Lee, T.S. (2002). Spike train analysis for single trial data using Hidden Markov Model Neurocomputing 44-46: 597-604, Elsevier Press. (PDF)

Deco, G., Lee, T.S. (2002). An unified model of spatial and object attention based on inter-cortical biased competition. Neurocomputing 44-46: 769-774, Elsevier Press (PDF)

Lee, T.S. (2003) Neural basis of attentive perceptual organization. In Perceptual Organization in Vision: Behavioral and Neural Perspectives Ed. M. Behrmann, C. Olson and R. Kimchi, Lawrence Erlbaum Associates, 431-457. (PDF)

Lee, T.S. (2003) Analysis and synthesis of visual images in the brain: evidence for Pattern theory. In Image analysis and higher level vision, Lecture notes in Mathematics and its Application. Ed. P. Olver and A. Tannenbaum. Springer-Verlag, 87-106. (PDF)

Yu, S., T.S. Lee, T. Kanade (2002) A hierarchical Markov Random Field Model for figure-ground Segregation Lecture Notes in Computer Science, 2134, pp 118-133, Springer-Verlag. (PDF)

Lee, T.S., Nguyen, M. (2001). Dynamics of subjective contour formation in early visual cortex. Proceedings of the National Academy of Sciences, U.S.A. , 98(4) 1907-1911. (PDF)

Romero, R.D., Lee T.S. (2001) Estimation of temporal kernels for cells in V1. Proceedings of Annual Conference in Computational Neuroscience . (PDF)

Lee, T.S., Yu, S. (2000) An information-theoretic framework for understanding saccadic behaviors. Advances in Neural Information Processing Systems 12: 834-840 , Ed. S.A. Solla, T.K. Leen, K-R. Muller. MIT Press. (PDF)

Yu, S., Lee T.S. (2000) What V1 neurons tell us about saccadic suppression. Neurocomputing Elsevier Press, 32-33, 271-277. (PDF)

Cassidente, E., Yan X.G, Lee T.S. (2000) A Bayesian decision approach to evaluate local and contextual information from spike trains. Neurocomputing , 32-33, 1013-1020 Elsevier Press. (PDF)

Yan, X.G. and Lee, T.S. (2000). Informatics of spike trains in neuronal ensemble. Proceedings of the International Conference of Biomedical Engineering . 5978-655226, 1-6.

Lee, T.S., D. Mumford, R. Romero and V.A.F. Lamme (1998). The role of primary visual cortex in higher level vision. Vision Research 38, 2429-2454. (PDF)

Lee, T.S., D. Mumford, S.C. Zhu and V.A.F. Lamme (1997). The role of V1 in shape representation. Proceedings of the Annual Conference of Computational Neuroscience 96 .

Lee, T.S. (1996). Image representation using 2D Gabor wavelets. IEEE Transection of Pattern Analysis and Machine Intelligence. Vol. 18, No. 10, October, 959-971. (PDF)