{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:56:00Z","timestamp":1725890160818},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642344862"},{"type":"electronic","value":"9783642344879"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-34487-9_46","type":"book-chapter","created":{"date-parts":[[2012,11,5]],"date-time":"2012-11-05T09:30:07Z","timestamp":1352107807000},"page":"373-381","source":"Crossref","is-referenced-by-count":1,"title":["Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons"],"prefix":"10.1007","author":[{"given":"Xiaolin","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"46_CR1","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1152\/jn.1965.28.2.229","volume":"28","author":"D.H. Hubel","year":"1965","unstructured":"Hubel, D.H., Wiesel, T.N.: Receptive fields and functional architecture in two nonstriate visual areas (18 and 19) of the cat. Journal of Neurophysiology\u00a028, 229\u2013289 (1965)","journal-title":"Journal of Neurophysiology"},{"key":"46_CR2","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1038\/381607a0","volume":"381","author":"B.A. Olshausen","year":"1996","unstructured":"Olshausen, B.A., Field, D.J.: Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature\u00a0381, 607\u2013609 (1996)","journal-title":"Nature"},{"issue":"23","key":"46_CR3","doi-asserted-by":"publisher","first-page":"3311","DOI":"10.1016\/S0042-6989(97)00169-7","volume":"37","author":"B.A. Olshausen","year":"1997","unstructured":"Olshausen, B.A., Field, D.J.: Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research\u00a037(23), 3311\u20133325 (1997)","journal-title":"Vision Research"},{"issue":"23","key":"46_CR4","doi-asserted-by":"publisher","first-page":"3327","DOI":"10.1016\/S0042-6989(97)00121-1","volume":"37","author":"A.J. Bell","year":"1997","unstructured":"Bell, A.J., Sejnowski, T.J.: The \u201cindependent components\u201d of natural scenes are edge filters. Vision Research\u00a037(23), 3327\u20133338 (1997)","journal-title":"Vision Research"},{"key":"46_CR5","unstructured":"Lee, H., Ekanadham, C., Ng, A.: Sparse deep belief net model for visual area V2. In: Platt, J., Koller, D., Singer, Y., Roweis, S. (eds.) Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, vol. 20 (2007)"},{"key":"46_CR6","unstructured":"Ranzato, M., Boureau, Y.L., LeCun, Y.: Sparse feature learning for deep belief networks. In: Platt, J., Koller, D., Singer, Y., Roweis, S. (eds.) Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, vol.\u00a020 (2007)"},{"key":"46_CR7","unstructured":"Coates, A., Lee, H., Ng, A.Y.: An analysis of single-layer networks in unsupervised feature learning. In: Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale, FL (2011)"},{"key":"46_CR8","unstructured":"Saxe, A.M., Bhand, M., Mudur, R., Suresh, B., Ng, A.Y.: Unsupervised learning models of primary cortical receptive fields and receptive field plasticity. In: Shawe-Taylor, J., Zemel, R., Bartlett, P., Pereira, F., Weinberger, K. (eds.) Advances in Neural Information Processing Systems (NIPS), vol.\u00a024, pp. 1971\u20131979 (2011)"},{"key":"46_CR9","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1162\/0899766053011474","volume":"17","author":"Y. Karklin","year":"2005","unstructured":"Karklin, Y., Lewicki, M.S.: A hierarchical bayesian model for learning nonlinear statistical regularities in nonstationary natural signals. Neural Computation\u00a017, 397\u2013423 (2005)","journal-title":"Neural Computation"},{"key":"46_CR10","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1038\/nature07481","volume":"457","author":"Y. Karklin","year":"2009","unstructured":"Karklin, Y., Lweicki, M.S.: Emergence of complex cell properties by learning to generalize in natural scenes. Nature\u00a0457, 83\u201386 (2009)","journal-title":"Nature"},{"key":"46_CR11","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1038\/14819","volume":"2","author":"M. Riesenhuber","year":"1999","unstructured":"Riesenhuber, M., Poggio, T.: Hierarchical models of object recognition in cortex. Nature Neuroscience\u00a02, 1019\u20131025 (1999)","journal-title":"Nature Neuroscience"},{"key":"46_CR12","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1152\/jn.01265.2006","volume":"98","author":"C. Cadieu","year":"2007","unstructured":"Cadieu, C., Kouh, M., Pasupathy, A., Connor, C.E., Riesenhuber, M., Poggio, T.: A model of V4 shape selectivity and invariance. Journal of Neurophysiology\u00a098, 1733\u20131750 (2007)","journal-title":"Journal of Neurophysiology"},{"key":"46_CR13","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"G.E. Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Computation\u00a018, 1527\u20131554 (2006)","journal-title":"Neural Computation"},{"key":"46_CR14","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1162\/089976602760128018","volume":"14","author":"G.E. Hinton","year":"2002","unstructured":"Hinton, G.E.: Training products of experts by minimizing contrastive divergence. Neural Computation\u00a014, 1771\u20131800 (2002)","journal-title":"Neural Computation"},{"issue":"13","key":"46_CR15","doi-asserted-by":"publisher","first-page":"3313","DOI":"10.1523\/JNEUROSCI.4364-03.2004","volume":"24","author":"M. Ito","year":"2004","unstructured":"Ito, M., Komatsu, H.: Representation of angles embedded within contour stimuli in area V2 of macaque monkeys. The Journal of Neuroscience\u00a024(13), 3313\u20133324 (2004)","journal-title":"The Journal of Neuroscience"},{"key":"46_CR16","unstructured":"Ekanadham, C.: Sparse deep belief net models for visual area V2. Undergraduate honors thesis, Stanford University (2007)"},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: Proceedings of the 26th International Conference on Machine Learning (ICML), Montreal, Canada, pp. 609\u2013616 (2009)","DOI":"10.1145\/1553374.1553453"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-34487-9_46.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T12:55:44Z","timestamp":1620132944000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-34487-9_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642344862","9783642344879"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-34487-9_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}