2 citations · 2 across the 5 of their papers we have counts for
5 papers
Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks
Yue Li, Weifan Wang, Tai Sing Lee
Recent neurophysiological studies have revealed that the early visual cortex can rapidly learn global image context, as evidenced by a sparsification of population responses and a…
Manifold Transform by Recurrent Cortical Circuit Enhances Robust Encoding of Familiar Stimuli
Weifan Wang, Xueyan Niu, Tai-Sing Lee
A ubiquitous phenomenon observed throughout the primate hierarchical visual system is the sparsification of the neural representation of visual stimuli as a result of familiarizati…
Self-Attention-Based Contextual Modulation Improves Neural System Identification
Isaac Lin, Tianye Wang, Shang Gao +2
Convolutional neural networks (CNNs) have been shown to be state-of-the-art models for visual cortical neurons. Cortical neurons in the primary visual cortex are sensitive to conte…
A large calcium-imaging dataset reveals a systematic V4 organization for natural scenes
Tianye Wang, Haoxuan Yao, Tai Sing Lee +5
The visual system evolved to process natural scenes, yet most of our understanding of the topology and function of visual cortex derives from studies using artificial stimuli. To g…
Complexity and Diversity in Sparse Code Priors Improve Receptive Field Characterization of Macaque V1 Neurons
Ziniu Wu, Harold Rockwell, Yimeng Zhang +2
System identification techniques -- projection pursuit regression models (PPRs) and convolutional neural networks (CNNs) -- provide state-of-the-art performance in predicting visua…