{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T06:17:58Z","timestamp":1725862678851},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319447803"},{"type":"electronic","value":"9783319447810"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-44781-0_55","type":"book-chapter","created":{"date-parts":[[2016,8,12]],"date-time":"2016-08-12T11:20:37Z","timestamp":1471000837000},"page":"463-471","source":"Crossref","is-referenced-by-count":2,"title":["Learning V4 Curvature Cell Populations from Sparse Endstopped Cells"],"prefix":"10.1007","author":[{"given":"Antonio","family":"Rodr\u00edguez-S\u00e1nchez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabine","family":"Oberleiter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanchen","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Justus","family":"Piater","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,13]]},"reference":[{"issue":"1","key":"55_CR1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1113\/jphysiol.1968.sp008455","volume":"195","author":"D Hubel","year":"1968","unstructured":"Hubel, D., Wiesel, T.: Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 195(1), 215\u2013243 (1968)","journal-title":"J. Physiol."},{"issue":"4654","key":"55_CR2","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1126\/science.6539501","volume":"224","author":"R Heydt von der","year":"1984","unstructured":"von der Heydt, R., Peterhans, E., Baumgartner, G.: Illusory contours and cortical neuron responses. Science 224(4654), 1260\u20131262 (1984)","journal-title":"Science"},{"issue":"5","key":"55_CR3","doi-asserted-by":"crossref","first-page":"2505","DOI":"10.1152\/jn.2001.86.5.2505","volume":"86","author":"A Pasupathy","year":"2001","unstructured":"Pasupathy, A., Connor, C.: Shape representation in area V4: position-specific tuning for boundary conformation. J. Neurophysiol. 86(5), 2505\u20132519 (2001)","journal-title":"J. Neurophysiol."},{"issue":"4","key":"55_CR4","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/BF00344251","volume":"36","author":"K Fukushima","year":"1980","unstructured":"Fukushima, K.: Neocognitron: a self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern. 36(4), 193\u2013202 (1980)","journal-title":"Biol. Cybern."},{"key":"55_CR5","doi-asserted-by":"crossref","unstructured":"Wei, H., Dong, Z.: V4 neural network model for visual saliency and discriminative local representation of shapes. In: 2014 International Joint Conference on Neural Networks (IJCNN), pp. 3420\u20133427. IEEE (2014)","DOI":"10.1109\/IJCNN.2014.6889392"},{"issue":"8","key":"55_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0042058","volume":"7","author":"A Rodr\u00edguez-S\u00e1nchez","year":"2012","unstructured":"Rodr\u00edguez-S\u00e1nchez, A., Tsotsos, J.: The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape. PLoS ONE 7(8), 1\u201313 (2012)","journal-title":"PLoS ONE"},{"key":"55_CR7","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1016\/S0042-6989(97)00169-7","volume":"37","author":"BA Olshausen","year":"1997","unstructured":"Olshausen, B.A., Field, D.J.: Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Res. 37, 3311\u20133325 (1997)","journal-title":"Vision Res."},{"key":"55_CR8","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1080\/net.12.3.255.270","volume":"12","author":"B Willmore","year":"2001","unstructured":"Willmore, B., Tolhurst, D.: Characterising the sparseness of neural codes. Netw. Comput. Neural Syst. 12, 255\u2013270 (2001)","journal-title":"Netw. Comput. Neural Syst."},{"issue":"5786","key":"55_CR9","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"55_CR10","unstructured":"Lee, H. , Ekanadham, C. , Ng, A.Y.: Sparse deep belief net model for visual area V2. In: Advances in Neural Information Processing Systems, pp. 873\u2013880 (2008)"},{"key":"55_CR11","doi-asserted-by":"crossref","unstructured":"Luo, H., Shen, R., Niu, C., Ullrich, C.: Sparse group restricted boltzmann machines. In: AAAI (2011)","DOI":"10.1609\/aaai.v25i1.7923"},{"key":"55_CR12","unstructured":"Goh, H., Thome, N., Cord, M.: Biasing restricted Boltzmann machines to manipulate latent selectivity and sparsity. In: NIPS Workshop on Deep Learning and Unsupervised Feature Learning (2010)"},{"key":"55_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/978-3-319-11179-7_53","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2014","author":"H Xiong","year":"2014","unstructured":"Xiong, H., Szedmak, S., Rodr\u00edguez-S\u00e1nchez, A., Piater, J.: Towards sparsity and selectivity: Bayesian learning of restricted Boltzmann machine for early visual features. In: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., Villa, A.E.P. (eds.) ICANN 2014. LNCS, vol. 8681, pp. 419\u2013426. Springer, Heidelberg (2014)"},{"key":"55_CR14","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-S\u00e1nchez, A., Tsotsos, J.: The importance of intermediate representations for the modeling of 2D shape detection: endstopping and curvature tuned computations. In: CVPR, pp. 4321\u20134326 (2011)","DOI":"10.1109\/CVPR.2011.5995671"},{"key":"55_CR15","doi-asserted-by":"crossref","unstructured":"Xiong, H., Rodr\u00edguez-S\u00e1nchez, A., Szedmak, S., Piater, J.: Diversity priors for learning early visual features. Front. Comput. Neurosci. 9(104), September 2015","DOI":"10.3389\/fncom.2015.00104"},{"issue":"5","key":"55_CR16","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1152\/jn.1985.53.5.1266","volume":"53","author":"H Spitzer","year":"1985","unstructured":"Spitzer, H., Hochstein, S.: A complex-cell receptive-field model. J. Neurophysiol. 53(5), 1266\u20131286 (1985)","journal-title":"J. Neurophysiol."},{"issue":"5","key":"55_CR17","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.1152\/jn.1978.41.5.1071","volume":"41","author":"H Kato","year":"1978","unstructured":"Kato, H., Bishop, P., Orban, G.: Hypeercomplex and simple\/complex cells classifications in cat striate cortex. J. Neurophysiol. 41(5), 1071\u20131095 (1978)","journal-title":"J. Neurophysiol."},{"key":"55_CR18","unstructured":"Dobbins, A.: Difference models of visual cortical neurons. Ph.D. Dissertation, Department of Electrical Engineering. McGill University (1992)"},{"issue":"4","key":"55_CR19","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.cub.2011.01.013","volume":"21","author":"ET Carlson","year":"2011","unstructured":"Carlson, E.T., Rasquinha, R.J., Zhang, K., Connor, C.E.: A sparse object coding scheme in area V4. Curr. Biol. 21(4), 288\u2013293 (2011)","journal-title":"Curr. Biol."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44781-0_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T13:13:28Z","timestamp":1692450808000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44781-0_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319447803","9783319447810"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44781-0_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}