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Shanshan Jia 0001
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Shanshan Jia 0002 — Donghua University, Shanghai, China
- Shanshan Jia 0003 — Shijiazhuang University of Applied Technology, China
- Shanshan Jia 0004 — Huazhong University of Science and Technology, Wuhan, China
- Shanshan Jia 0005 — Xi'an Jiaotong University, Affiliate Children's Hospital, Department of Neurology, China
- Shanshan Jia 0006
— Southwest University of Science and Technology, Mianyang, China
- Shanshan Jia 0007 — Jilin Engineering Normal University, Changchun, China
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2020 – today
- 2024
- [j10]Ye Chen
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) - 2023
- [c1]Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang:
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI 2023: 137-147 - 2022
- [j9]Shanshan Jia
Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns 3(3): 100424 (2022) - [j8]Shanshan Jia, Zhaofei Yu:
Zooming in on the brain via data science. Patterns 3(3): 100463 (2022) - [j7]Qi Yan
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. 52(1): 39-50 (2022) - [j6]Shanshan Jia
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. 52(6): 4772-4783 (2022) - [i5]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 abs/2201.09302 (2022) - 2021
- [j5]Yajing Zheng
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns 2(10): 100350 (2021) - [j4]Shanshan Jia
Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. 17(11) (2021) - 2020
- [j3]Lingling An, Yuanhong Tang
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers Comput. Neurosci. 14: 26 (2020) - [j2]Yichen Zhang
Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks 125: 19-30 (2020) - [j1]Yajing Zheng
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks 126: 42-51 (2020)
2010 – 2019
- 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
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)
Coauthor Index
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