3 papers
cs.CV2025
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…
q-bio.NC2024
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…
cs.CV2024
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…