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In: Neural Information Processing Systems."},{"key":"ref50","first-page":"695","article-title":"Estimation of non-normalized statistical models by score matching","volume":"6","author":"A Hyv\u00e4rinen","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref51","first-page":"307","article-title":"Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics","volume":"13","author":"MU Gutmann","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"2308","DOI":"10.1162\/NECO_a_00010","article-title":"A two-layer model of natural stimuli estimated with score matching","volume":"22","author":"U K\u00f6ster","year":"2010","journal-title":"Neural Comput"},{"key":"ref53","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.jphysparis.2013.01.001","article-title":"A three-layer model of natural image statistics","volume":"107","author":"MU Gutmann","year":"2013","journal-title":"J Physiol Paris"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","article-title":"A fast learning algorithm for deep belief nets","volume":"18","author":"GE Hinton","year":"2006","journal-title":"Neural Comput"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"3127","DOI":"10.1162\/NECO_a_00047","article-title":"Neural decoding with hierarchical generative models","volume":"22","author":"MAJ van Gerven","year":"2010","journal-title":"Neural Comput"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1016\/j.neuroimage.2011.10.065","article-title":"The future of ultra-high field MRI and fMRI for study of the human brain","volume":"62","author":"JH Duyn","year":"2012","journal-title":"Neuroimage"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"10607","DOI":"10.1073\/pnas.0804110105","article-title":"High-field fMRI unveils orientation columns in humans","volume":"105","author":"E Yacoub","year":"2008","journal-title":"Proc Natl Acad Sci U S A"},{"key":"ref58","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1137\/S0895479895290954","article-title":"The geometry of algorithms with orthogonality constraints","volume":"20","author":"A Edelman","year":"1998","journal-title":"SIAM J Matrix Anal A"},{"key":"ref59","doi-asserted-by":"crossref","unstructured":"Boyd S, Vandenberghe L (2004) Convex Optimization. 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