Yan Karklin - Publications
Affiliations: | New York University, New York, NY, United States |
Area:
Computation & TheoryWebsite:
http://www.cns.nyu.edu/~yan/Year | Citation | Score | |||
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2012 | Karklin Y, Ekanadham C, Simoncelli EP. Hierarchical spike coding of sound. Advances in Neural Information Processing Systems. 2012: 3032-3040. PMID 25356065 | 0.56 | |||
2011 | Karklin Y, Simoncelli EP. Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. Advances in Neural Information Processing Systems. 24: 999-1007. PMID 26273180 | 0.568 | |||
2011 | Karklin Y, Simoncelli EP. Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. | 0.546 | |||
2009 | Karklin Y, Lewicki MS. Emergence of complex cell properties by learning to generalize in natural scenes. Nature. 457: 83-6. PMID 19020501 DOI: 10.1038/nature07481 | 0.67 | |||
2005 | Karklin Y, Lewicki MS. A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals. Neural Computation. 17: 397-423. PMID 15720773 DOI: 10.1162/0899766053011474 | 0.664 | |||
2005 | Karklin Y, Lewicki MS. Is early vision optimized for extracting higher-order dependencies? Advances in Neural Information Processing Systems. 635-642. | 0.567 | |||
2003 | Karklin Y, Lewicki MS. Learning higher-order structures in natural images. Network (Bristol, England). 14: 483-99. PMID 12938768 DOI: 10.1088/0954-898X/14/3/306 | 0.692 | |||
2003 | Karklin Y, Lewicki MS. A model for learning variance components of natural images Advances in Neural Information Processing Systems. | 0.644 | |||
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