| Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner JK Liu, DV Buonomano Journal of Neuroscience 29 (42), 13172-13181, 2009 | 93 | 2009 |
| Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization JK Liu, HM Schreyer, A Onken, F Rozenblit, MH Khani, V Krishnamoorthy, ... Nature communications 8 (1), 1-14, 2017 | 54 | 2017 |
| Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina JK Liu, T Gollisch PLoS Comput Biol 11 (7), e1004425, 2015 | 36 | 2015 |
| Using matrix and tensor factorizations for the single-trial analysis of population spike trains A Onken, JK Liu, PPCR Karunasekara, I Delis, T Gollisch, S Panzeri PLoS computational biology 12 (11), e1005189, 2016 | 34 | 2016 |
| Mechanisms and functional roles of glutamatergic synapse diversity in a cerebellar circuit V Zampini*, JK Liu*, MA Diana, PP Maldonado, N Brunel, S Dieudonné eLife 5, e15872, 2016 | 30 | 2016 |
| A systematic study of spirals and spiral turbulence in a reaction-diffusion system H Guo, L Li, Q Ouyang, J Liu, Z She The Journal of chemical physics 118 (11), 5038-5044, 2003 | 23 | 2003 |
| Learning rule of homeostatic synaptic scaling: Presynaptic dependent or not JK Liu Neural computation 23 (12), 3145-3161, 2011 | 16 | 2011 |
| Hierarchical structures in a turbulent free shear flow XQ Jiang, H Gong, JK Liu, MD Zhou, ZS She Journal of Fluid Mechanics 569, 259-286, 2006 | 13 | 2006 |
| Hierarchical structure description of spatiotemporal chaos J Liu, ZS She, H Guo, L Li, Q Ouyang Physical Review E 70 (3), 036215, 2004 | 11 | 2004 |
| Bioinspired approach to modeling retinal ganglion cells using system identification techniques PJ Vance, GP Das, D Kerr, SA Coleman, TM McGinnity, T Gollisch, JK Liu IEEE transactions on neural networks and learning systems 29 (5), 1796-1808, 2018 | 9 | 2018 |
| Reconstruction of natural visual scenes from neural spikes with deep neural networks Y Zhang, S Jia, Y Zheng, Z Yu, Y Tian, S Ma, T Huang, JK Liu Neural Networks 125, 19-30, 2020 | 8 | 2020 |
| Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks Q Yan, Y Zheng, S Jia, Y Zhang, Z Yu, F Chen, Y Tian, T Huang, JK Liu IEEE Transactions on Cybernetics, 2020 | 8 | 2020 |
| Neural System Identification with Spike-triggered Non-negative Matrix Factorization S Jia, Z Yu, A Onken, Y Tian, T Huang, JK Liu IEEE Transactions on Cybernetics, 2021 | 7* | 2021 |
| Toward the next generation of retinal neuroprosthesis: visual computation with spikes Z Yu, JK Liu, S Jia, Y Zhang, Y Zheng, Y Tian, T Huang Engineering 6 (4), 449-461, 2020 | 7 | 2020 |
| MATRIEX imaging: multiarea two-photon real-time in vivo explorer M Yang, Z Zhou, J Zhang, S Jia, T Li, J Guan, X Liao, B Leng, J Lyu, ... Light: Science & Applications 8 (1), 1-11, 2019 | 5 | 2019 |
| Revealing structure components of the retina by deep learning networks Q Yan, Z Yu, F Chen, JK Liu arXiv preprint arXiv:1711.02837, 2017 | 5 | 2017 |
| Hierarchical structures in spatially extended systems J Liu, ZS She, Q Ouyang, XT He International Journal of Modern Physics B 17 (22n24), 4139-4148, 2003 | 5 | 2003 |
| A unified neural circuit of causal inference and multisensory integration Y Fang, Z Yu, JK Liu, F Chen Neurocomputing 358, 355-368, 2019 | 4 | 2019 |
| A spike-timing pattern based neural network model for the study of memory dynamics JK Liu, ZS She PLoS One 4 (7), e6247, 2009 | 4 | 2009 |
| Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation Y Zheng, S Jia, Z Yu, T Huang, JK Liu, Y Tian Neural networks 126, 42-51, 2020 | 3 | 2020 |
Tiejun HuangProfessor,School of EE&CS, Peking UniversityVerified email at pku.edu.cn
