Junxing Shi

发表

Deep Recurrent Neural Network Reveals a Hierarchy of Process Memory during Dynamic Natural Vision

Yizhen Zhang, Kuan Han, Zhongming Liu, 2017 .

Variational Autoencoder: An Unsupervised Model for Modeling and Decoding fMRI Activity in Visual Cortex

Yizhen Zhang, Kuan Han, Zhongming Liu, 2017, bioRxiv.

Transferring and generalizing deep-learning-based neural encoding models across subjects

Wei Chen, Junxing Shi, Haiguang Wen, 2017, NeuroImage.

Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

Yizhen Zhang, Zhongming Liu, Junxing Shi, 2017 .

Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex

Yizhen Zhang, Kuan Han, Junxing Shi, 2019, NeuroImage.

Transferring and Generalizing Deep-Learning-based Neural Encoding Models across Subjects

Junxing Shi, Haiguang Wen, Zhongming Liu, 2017 .

Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization

Junxing Shi, Haiguang Wen, Zhongming Liu, 2018, Scientific Reports.

Deep Recurrent Neural Network Reveals a Hierarchy of Process Memory during Dynamic Natural Vision

Yizhen Zhang, Kuan Han, Junxing Shi, 2017, bioRxiv.

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

Yizhen Zhang, Zhongming Liu, Junxing Shi, 2017 .

Visualized layer-wise visual features in deep residual neural network

Wei Chen, Zhongming Liu, Junxing Shi, 2017 .

Deep Predictive Coding Network for Object Recognition pdf

Eugenio Culurciello, Yizhen Zhang, Kuan Han, 2018, ICML.

Deep Residual Network Reveals a Nested Hierarchy of Distributed Cortical Representation for Visual Categorization

Zhongming Liu, Junxing Shi, Haiguang Wen, 2017, bioRxiv.

Modeling Cortical Visual Processing With Recurrent Neural Network

Junxing Shi, 2017 .

Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

Yizhen Zhang, Junxing Shi, Haiguang Wen, 2016, Cerebral cortex.