Jian K. Liu
Jian K. Liu
School of Computing, University of Leeds
Verified email at ucla.edu - Homepage
Cited by
Cited by
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
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
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
Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina
JK Liu, T Gollisch
PLoS computational biology 11 (7), e1004425, 2015
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
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
Learning rule of homeostatic synaptic scaling: Presynaptic dependent or not
JK Liu
Neural computation 23 (12), 3145-3161, 2011
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
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
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
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
Hierarchical structure description of spatiotemporal chaos
J Liu, ZS She, H Guo, L Li, Q Ouyang
Physical Review E 70 (3), 036215, 2004
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
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
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
Single-neuron representation of learned complex sounds in the auditory cortex
M Wang, X Liao, R Li, S Liang, R Ding, J Li, J Zhang, W He, K Liu, J Pan, ...
Nature Communications 11 (1), 1-14, 2020
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
L An, Y Tang, D Wang, S Jia, Q Pei, Q Wang, Z Yu, JK Liu
Frontiers in Computational Neuroscience, 2020
Revealing structure components of the retina by deep learning networks
Q Yan, Z Yu, F Chen, JK Liu
arXiv preprint arXiv:1711.02837, 2017
A unified neural circuit of causal inference and multisensory integration
Y Fang, Z Yu, JK Liu, F Chen
Neurocomputing 358, 355-368, 2019
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
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