Tai Sing Lee - Citegraph

Author Info

Name	Affiliation	Papers
TAI SING LEE	MIT,DEPT BRAIN & COGNIT SCI,CAMBRIDGE,MA 02139	34
Collaborators	Citations	PageRank
46	794	88.73
Referers	Referees	References
1945	539	270

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Publications (34 rows)

Collaborators (46 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
SurfGen - Adversarial 3D Shape Synthesis with Explicit Surface Discriminators.	0	0.34	2021
Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons	0	0.34	2021
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits	0	0.34	2019
Convolutional neural network models of V1 responses to complex patterns.	1	0.37	2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction.	0	0.34	2019
Learning Robust Object Recognition Using Composed Scenes from Generative Models	0	0.34	2017
Transfer of View-manifold Learning to Similarity Perception of Novel Objects.	2	0.38	2017
Learning to Associate Words and Images Using a Large-Scale Graph	0	0.34	2017
Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction.	1	0.37	2014
Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness	1	0.36	2014
Learning Discriminative Sufficient Statistics Score Space for Classification.	7	0.43	2013
Stochastic Feature Mapping for PAC-Bayes Classification	5	0.44	2012
Hybrid generative-discriminative classification using posterior divergence	17	0.74	2011
Local field potentials indicate network state and account for neuronal response variability	12	0.86	2010
Accounting for network effects in neuronal responses using L1 regularized point process models.	9	0.57	2010
The Block Diagonal Infinite Hidden Markov Model	0	0.34	2009
The Block Diagonal Infinite Hidden Markov Model	5	0.45	2009
Efficient belief propagation for higher-order cliques using linear constraint nodes	34	1.03	2008
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation	0	0.34	2006
Adaptive contrast gain control and information maximization	4	1.20	2005
Scaling Laws in Natural Scenes and the Inference of 3D Shape	10	0.75	2005
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video	1	0.40	2005
Decoding visual input from V1 neuronal activity with particle filtering	1	0.39	2004
Adaptation of the transfer function of the Hodgkin–Huxley (HH) neuronal model	0	0.34	2003
Adaptation of the temporal receptive fields of macaque V1 neurons	1	0.46	2003
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels	4	0.57	2003
Spike train analysis for single trial data	2	0.55	2002
A unified model of spatial and object attention based on inter-cortical biased competition	13	1.61	2002
A Hierarchical Markov Random Field Model for Figure-Ground Segregation	17	1.09	2001
What do V1 neurons tell us about saccadic suppression?	0	0.34	2000
A Bayesian decision approach to evaluate local and contextual information in spike trains	0	0.34	2000
Image representation using 2D Gabor wavelets	616	56.56	1996
Representational strategy in the visual cortex	0	0.34	1994
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model	31	15.10	1992