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Jian K. Liu
Jian K. Liu
University of Birmingham
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
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
1192009
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), 149, 2017
972017
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
692016
Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina
JK Liu, T Gollisch
PLoS computational biology 11 (7), e1004425, 2015
562015
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
472016
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), 4361, 2020
412020
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
412020
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
382020
Robust transcoding sensory information with neural spikes
Q Xu, J Shen, X Ran, H Tang, G Pan, JK Liu
IEEE Transactions on Neural Networks and Learning Systems, 2022
292022
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), 109, 2019
282019
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 5, 2022
272022
Constructing deep spiking neural networks from artificial neural networks with knowledge distillation
Q Xu, Y Li, J Shen, JK Liu, H Tang, G Pan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
252023
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks
Y Zheng, S Jia, Z Yu, JK Liu, T Huang
Patterns 2 (10), 100350, 2021
242021
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding
Q Xu, Y Li, J Shen, P Zhang, JK Liu, H Tang, G Pan
IEEE Transactions on Neural Networks and Learning Systems, 2022
232022
Learning rule of homeostatic synaptic scaling: Presynaptic dependent or not
JK Liu
Neural computation 23 (12), 3145-3161, 2011
222011
Emergent inference of hidden markov models in spiking neural networks through winner-take-all
Z Yu, S Guo, F Deng, Q Yan, K Huang, JK Liu, F Chen
IEEE transactions on cybernetics 50 (3), 1347-1354, 2018
212018
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, 2022
18*2022
Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration
JK Liu, D Karamanlis, T Gollisch
PLOS Computational Biology 18 (3), e1009925, 2022
172022
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network
J Shen, JK Liu, Y Wang
Neural Computation 33 (11), 2971-2995, 2021
172021
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
172018
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