Articles with public access mandates - Wu LiLearn more
Not available anywhere: 3
Predicting perceptual learning from higher-order cortical processing
F Wang, J Huang, Y Lv, X Ma, B Yang, E Wang, B Du, W Li, Y Song
NeuroImage 124, 682-692, 2016
Mandates: National Natural Science Foundation of China
Joint analysis of spikes and local field potentials using copula
M Hu, M Li, W Li, H Liang
NeuroImage 133, 457-467, 2016
Mandates: National Natural Science Foundation of China
Many Roads Lead to Rome: Differential Learning Processes for the Same Perceptual Improvement
Y Du, G Zhang, W Li, E Zhang
Psychological Science, 09567976221134481, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 26
Top-down influences on visual processing
CD Gilbert, W Li
Nature Reviews Neuroscience 14 (5), 350-363, 2013
Mandates: US National Institutes of Health
Adult visual cortical plasticity
CD Gilbert, W Li
Neuron 75 (2), 250-264, 2012
Mandates: US National Institutes of Health
Incremental integration of global contours through interplay between visual cortical areas
M Chen, Y Yan, X Gong, CD Gilbert, H Liang, W Li
Neuron 82 (3), 682-694, 2014
Mandates: National Natural Science Foundation of China
Perceptual training continuously refines neuronal population codes in primary visual cortex
Y Yan, MJ Rasch, M Chen, X Xiang, M Huang, S Wu, W Li
Nature neuroscience 17 (10), 1380-1387, 2014
Mandates: National Natural Science Foundation of China
Stochastic generation of gamma-band activity in primary visual cortex of awake and anesthetized monkeys
D Xing, Y Shen, S Burns, CI Yeh, R Shapley, W Li
Journal of Neuroscience 32 (40), 13873-13880a, 2012
Mandates: US National Institutes of Health
Adaptive shape processing in primary visual cortex
JNJ McManus, W Li, CD Gilbert
Proceedings of the National Academy of Sciences 108 (24), 9739-9746, 2011
Mandates: US National Institutes of Health
Top-down modulation of lateral interactions in visual cortex
N Ramalingam, JNJ McManus, W Li, CD Gilbert
Journal of Neuroscience 33 (5), 1773-1789, 2013
Mandates: US National Institutes of Health
Interactions between feedback and lateral connections in the primary visual cortex
H Liang, X Gong, M Chen, Y Yan, W Li, CD Gilbert
Proceedings of the National Academy of Sciences 114 (32), 8637-8642, 2017
Mandates: US National Science Foundation, National Natural Science Foundation of China
Network model of top-down influences on local gain and contextual interactions in visual cortex
V Piëch, W Li, GN Reeke, CD Gilbert
Proceedings of the National Academy of Sciences 110 (43), E4108-E4117, 2013
Mandates: US National Institutes of Health
Perceptual learning at a conceptual level
R Wang, J Wang, JY Zhang, XY Xie, YX Yang, SH Luo, C Yu, W Li
The Journal of Neuroscience 36 (7), 2238-2246, 2016
Mandates: National Natural Science Foundation of China
Bottom-up saliency and top-down learning in the primary visual cortex of monkeys
Y Yan, L Zhaoping, W Li
Proceedings of the National Academy of Sciences, 2018
Mandates: National Natural Science Foundation of China
Perceptual Learning: Use-Dependent Cortical Plasticity
W Li
Annual Review of Vision Science 2 (1), 109-130, 2016
Mandates: National Natural Science Foundation of China
Modulation of neuronal responses by exogenous attention in macaque primary visual cortex
W Wang, F., Chen, M., Yan, Y., Zhaoping, L., Li
The Journal of Neuroscience 35 (39), 13419-13429, 2015
Mandates: National Natural Science Foundation of China
Fear-related signals in the primary visual cortex
Z Li, A Yan, K Guo, W Li
Current Biology 29 (23), 4078-4083. e2, 2019
Mandates: National Natural Science Foundation of China
Synergistic Processing of Visual Contours across Cortical Layers in V1 and V2
R Chen, F Wang, H Liang, W Li
Neuron 96 (6), 1388-1402. e4, 2017
Mandates: National Natural Science Foundation of China
Adult cortical plasticity studied with chronically implanted electrode arrays
H Abe, JNJ McManus, N Ramalingam, W Li, SA Marik, ...
Journal of Neuroscience 35 (6), 2778-2790, 2015
Mandates: US National Institutes of Health, National Natural Science Foundation of China
A copula-based Granger causality measure for the analysis of neural spike train data
M Hu, W Li, H Liang
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 15 …, 2018
Mandates: National Natural Science Foundation of China
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