Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks. Sengupta, A., Tepper, M., Pehlevan, C., Genkin, A., & Chklovskii, D. In NIPS, 2018. accepted
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks [link]Paper  bibtex   
@inproceedings{Tepper:ManifoldTilingLocalizedReceptiveFields,
    author = {A. Sengupta and M. Tepper and C. Pehlevan and A. Genkin and D. Chklovskii},
    title = {Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks},
    booktitle = {NIPS},
    year = {2018},
    note = {accepted},
    url_Paper = {https://www.biorxiv.org/content/early/2018/06/04/338947},
}

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