Jian K. Liu

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  • 2022 | Preprint
    ​ ​Liu JK, Karamanlis D, Gollisch T. ​Simple Model for Encoding Natural Images by Retinal Ganglion Cells with Nonlinear Spatial Integration​. ​​2022. Available from: https://mbexc.uni-goettingen.de/literature/publications/343 doi: https://doi.org/10.1101/2021.08.29.458067​
    ​Details  DOI 
  • 2022 | Journal Article | Research Paper | 
    ​ ​Liu JK, Karamanlis D, Gollisch T. ​Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration​. ​​PLOS Computational Biology. ​2022;​18​(3):​​e1009925​. ​doi:10.1371/journal.pcbi.1009925. 
    ​Details  DOI  PMID  PMC 
  • 2018 | Journal Article
    ​ ​Vance PJ, Das GP, Kerr D, Coleman SA, McGinnity TM, Gollisch T, et al. ​Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques​. ​​IEEE Transactions on Neural Networks and Learning Systems. ​2018;​29​(5):​​1796​-1808​. ​doi:10.1109/TNNLS.2017.2690139. 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​Liu JK, Schreyer HM, Onken A, Rozenblit F, Khani MH, Krishnamoorthy V, et al. ​Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization​. ​​Nature Communications. ​2017;​8​(1). ​doi:10.1038/s41467-017-00156-9. 
    ​Details  DOI  PMID  PMC 
  • 2016 | Journal Article | 
    ​ ​Onken A, Liu JK, Karunasekara PPCR, Delis I, Gollisch T, Panzeri S. ​Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains​. ​​PLoS Computational Biology. ​2016;​12​(11). ​doi:10.1371/journal.pcbi.1005189. 
    ​Details  DOI  PMID  PMC  WoS 
  • 2015 | Journal Article | 
    ​ ​Liu JK, Gollisch T. ​Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina​. ​​PLoS Computational Biology. ​2015;​11​(7). ​doi:10.1371/journal.pcbi.1004425. 
    ​Details  DOI  PMID  PMC  WoS 

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