337 citations · 400 across the 5 of their papers we have counts for
5 papers
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
Yizhen Zhang, Minkyu Choi, Kuan Han +1
In natural language processing, most models try to learn semantic representations merely from texts. The learned representations encode the distributional semantics but fail to con…
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
Kuan Han, Haiguang Wen, Yizhen Zhang +3
Inspired by "predictive coding" - a theory in neuroscience, we develop a bi-directional and dynamic neural network with local recurrent processing, namely predictive coding network…
Deep Predictive Coding Network for Object Recognition
Haiguang Wen, Kuan Han, Junxing Shi +3
Based on the predictive coding theory in neuroscience, we designed a bi-directional and recurrent neural net, namely deep predictive coding networks (PCN). It has feedforward, feed…
Spontaneous Activity in the Visual Cortex is Organized by Visual Streams
Kun-Han Lu, Jun Young Jeong, Haiguang Wen +1
Large-scale functional networks have been extensively studied using resting state functional magnetic resonance imaging. However, the pattern, organization, and function of fine-sc…
Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
Haiguang Wen, Junxing Shi, Yizhen Zhang +3
Convolutional neural network (CNN) driven by image recognition has been shown to be able to explain cortical responses to static pictures at ventral-stream areas. Here, we further…