Shanshan Jia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Spiking Neural Networks

Probabilistic Inference

Markov Random Field

Top Venues

IEEE Trans. Cybern.

Neural Networks

Publications

Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu
Deep Learning for Visual Neuroprosthesis. CoRR (2024)
Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI (2023)
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. 52 (1) (2022)
Shanshan Jia, Zhaofei Yu
Zooming in on the brain via data science. Patterns 3 (3) (2022)
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. 52 (6) (2022)
Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian
1000x Faster Camera and Machine Vision with Ordinary Devices. CoRR (2022)
Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu
Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns 3 (3) (2022)
Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu
Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. 17 (11) (2021)
Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns 2 (10) (2021)
Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks 126 (2020)
Lingling An, Yuanhong Tang, Doudou Wang, Shanshan Jia, Qingqi Pei, Quan Wang, Zhaofei Yu, Jian K. Liu
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers Comput. Neurosci. 14 (2020)
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu
Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks 125 (2020)
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR (2019)
Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR (2019)
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR (2018)
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR (2018)