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ORCIDShanshan Jia 0001
- > Home > Persons > Shanshan Jia 0001
Publications
- 2025
[j14]Yuanhong Tang, Shanshan Jia, Tiejun Huang, Zhaofei Yu
, Jian K. Liu:
Implementing feature binding through dendritic networks of a single neuron. Neural Networks 189: 107555 (2025)- [j13]Yuanhong Tang, Shanshan Jia, Tiejun Huang, Zhaofei Yu, Jian K. Liu:
Corrigendum to "Implementing feature binding through dendritic networks of a single neuron" [Neural Networks(2025) 107555]. Neural Networks 190: 107680 (2025) - [j12]Jing Peng, Shanshan Jia, Jiyuan Zhang, Yongxing Wang, Zhaofei Yu, Jian K. Liu:
Decoding natural visual scenes via learnable representations of neural spiking sequences. Neural Networks 192: 107863 (2025) - [j11]Zhaofei Yu, Tong Bu, Yijun Zhang, Shanshan Jia, Tiejun Huang, Jian K. Liu:
Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3396-3409 (2025) - 2024
- [j10]Ye Chen, Peter Beech, Ziwei Yin, Shanshan Jia, Jiayi Zhang, Zhaofei Yu, Jian K. Liu:
Decoding dynamic visual scenes across the brain hierarchy. PLoS Comput. Biol. 20(8): 1012297 (2024) - [i6]Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu:
Deep Learning for Visual Neuroprosthesis. CoRR abs/2401.03639 (2024) - 2022
- [j9]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): 100424 (2022) - [j7]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): 39-50 (2022) - [j6]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): 4772-4783 (2022) - 2021
- [j5]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): 100350 (2021) - [j4]Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu:
Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. 17(11) (2021) - 2020
- [j3]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: 26 (2020) - [j2]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: 19-30 (2020) - [j1]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: 42-51 (2020) - 2019
- [i4]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 abs/1902.08411 (2019) - [i3]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 abs/1904.13007 (2019) - 2018
- [i2]Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR abs/1808.03958 (2018) - [i1]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 abs/1811.02290 (2018)
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