Jian K. Liu

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  • 2022 | Preprint
    ​ ​Simple Model for Encoding Natural Images by Retinal Ganglion Cells with Nonlinear Spatial Integration​
    Liu, J. K. ; Karamanlis, D.& Gollisch, T. ​ (2022). DOI: https://doi.org/10.1101/2021.08.29.458067 
    ​Details  DOI 
  • 2022 | Journal Article | Research Paper | 
    ​ ​Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration​
    Liu, J. K. ; Karamanlis, D. & Gollisch, T. ​ (2022) 
    PLOS Computational Biology, 18(3) pp. e1009925​.​ DOI: https://doi.org/10.1371/journal.pcbi.1009925 
    ​Details  DOI  PMID  PMC 
  • 2018 | Journal Article
    ​ ​Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques​
    Vance, P. J.; Das, G. P.; Kerr, D.; Coleman, S. A.; McGinnity, T. M.; Gollisch, T.   & Liu, J. K. ​ (2018) 
    IEEE Transactions on Neural Networks and Learning Systems, 29(5) pp. 1796​-1808​.​ DOI: https://doi.org/10.1109/TNNLS.2017.2690139 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization​
    Liu, J. K. ; Schreyer, H. M. ; Onken, A.; Rozenblit, F. ; Khani, M. H. ; Krishnamoorthy, V.   & Panzeri, S. et al.​ (2017) 
    Nature Communications, 8(1) art. 149​.​ DOI: https://doi.org/10.1038/s41467-017-00156-9 
    ​Details  DOI  PMID  PMC 
  • 2016 | Journal Article | 
    ​ ​Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains​
    Onken, A.; Liu, J. K. ; Karunasekara, P. P. C. R.; Delis, I.; Gollisch, T.   & Panzeri, S.​ (2016) 
    PLoS Computational Biology, 12(11) art. e1005189​.​ DOI: https://doi.org/10.1371/journal.pcbi.1005189 
    ​Details  DOI  PMID  PMC  WoS 
  • 2015 | Journal Article | 
    ​ ​Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina​
    Liu, J. K.   & Gollisch, T. ​ (2015) 
    PLoS Computational Biology, 11(7) art. e1004425​.​ DOI: https://doi.org/10.1371/journal.pcbi.1004425 
    ​Details  DOI  PMID  PMC  WoS 

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