{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:44:27Z","timestamp":1742913867895,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030110147"},{"type":"electronic","value":"9783030110154"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-11015-4_43","type":"book-chapter","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T06:42:47Z","timestamp":1548312167000},"page":"577-586","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Characterization of Visual Object Representations in Rat Primary Visual Cortex"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7855-1641","authenticated-orcid":false,"given":"Sebastiano","family":"Vascon","sequence":"first","affiliation":[]},{"given":"Ylenia","family":"Parin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3507-4873","authenticated-orcid":false,"given":"Eis","family":"Annavini","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4554-8822","authenticated-orcid":false,"given":"Mattia","family":"D\u2019Andola","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7221-4188","authenticated-orcid":false,"given":"Davide","family":"Zoccolan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8992-9243","authenticated-orcid":false,"given":"Marcello","family":"Pelillo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,23]]},"reference":[{"issue":"8","key":"43_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pcbi.1003167","volume":"9","author":"C Baldassi","year":"2013","unstructured":"Baldassi, C., Alemi-Neissi, A., Pagan, M., DiCarlo, J.J., Zecchina, R., Zoccolan, D.: Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons. PLOS Comput. Biol. 9(8), 1\u201321 (2013)","journal-title":"PLOS Comput. Biol."},{"issue":"8","key":"43_CR2","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.tics.2007.06.010","volume":"11","author":"JJ DiCarlo","year":"2007","unstructured":"DiCarlo, J.J., Cox, D.D.: Untangling invariant object recognition. Trends Cogn. Sci. 11(8), 333\u2013341 (2007)","journal-title":"Trends Cogn. Sci."},{"issue":"3","key":"43_CR3","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/j.neuron.2012.01.010","volume":"73","author":"JJ DiCarlo","year":"2012","unstructured":"DiCarlo, J.J., Zoccolan, D., Rust, N.C.: How does the brain solve visual object recognition? Neuron 73(3), 415\u2013434 (2012)","journal-title":"Neuron"},{"key":"43_CR4","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1613\/jair.105","volume":"2","author":"TG Dietterich","year":"1994","unstructured":"Dietterich, T.G., Bakiri, G.: Solving multiclass learning problems via error-correcting output codes. J. Artif. Intell. Res. 2, 263\u2013286 (1994)","journal-title":"J. Artif. Intell. Res."},{"key":"43_CR5","doi-asserted-by":"crossref","unstructured":"Dodero, L., Vascon, S., Giancardo, L., Gozzi, A., Sona, D., Murino, V.: Automatic white matter fiber clustering using dominant sets. In: 2013 International Workshop on Pattern Recognition in Neuroimaging, pp. 216\u2013219, June 2013","DOI":"10.1109\/PRNI.2013.62"},{"key":"43_CR6","doi-asserted-by":"publisher","first-page":"87","DOI":"10.3389\/fninf.2014.00087","volume":"8","author":"L Dodero","year":"2015","unstructured":"Dodero, L., Vascon, S., Murino, V., Bifone, A., Gozzi, A., Sona, D.: Automated multi-subject fiber clustering of mouse brain using dominant sets. Front. Neuroinform. 8, 87 (2015)","journal-title":"Front. Neuroinform."},{"key":"43_CR7","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD 1996, pp. 226\u2013231. AAAI Press (1996)"},{"issue":"1","key":"43_CR8","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1146\/annurev-vision-102016-061331","volume":"3","author":"LL Glickfeld","year":"2017","unstructured":"Glickfeld, L.L., Olsen, S.R.: Higher-order areas of the mouse visual cortex. Ann. Rev. Vis. Sci. 3(1), 251\u2013273 (2017)","journal-title":"Ann. Rev. Vis. Sci."},{"key":"43_CR9","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.conb.2013.08.009","volume":"24","author":"LL Glickfeld","year":"2014","unstructured":"Glickfeld, L.L., Reid, R.C., Andermann, M.L.: A mouse model of higher visual cortical function. Curr. Opin. Neurobiol. 24, 28\u201333 (2014)","journal-title":"Curr. Opin. Neurobiol."},{"issue":"9","key":"43_CR10","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1016\/j.tins.2011.07.002","volume":"34","author":"AD Huberman","year":"2011","unstructured":"Huberman, A.D., Niell, C.M.: What can mice tell us about how vision works? Trends Neurosci. 34(9), 464\u2013473 (2011)","journal-title":"Trends Neurosci."},{"key":"43_CR11","unstructured":"Kaufman, L., Rousseeuw, P.: Clustering by means of medoids. In: Statistical Data Analysis Based on the L1 Norm and Related Methods, pp. 405\u2013416. North-Holland, Amsterdam (1987)"},{"issue":"6","key":"43_CR12","doi-asserted-by":"publisher","first-page":"4296","DOI":"10.1152\/jn.00024.2007","volume":"97","author":"R Kiani","year":"2007","unstructured":"Kiani, R., Esteky, H., Mirpour, K., Tanaka, K.: Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. J. Neurophysiol. 97(6), 4296\u20134309 (2007)","journal-title":"J. Neurophysiol."},{"key":"43_CR13","first-page":"2579","volume":"9","author":"L van der Maaten","year":"2008","unstructured":"van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"43_CR14","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, pp. 281\u2013297. University of California Press, Berkeley (1967)"},{"key":"43_CR15","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"CD Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)"},{"issue":"1","key":"43_CR16","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1109\/TPAMI.2007.250608","volume":"29","author":"M Pavan","year":"2007","unstructured":"Pavan, M., Pelillo, M.: Dominant sets and pairwise clustering. IEEE Trans. Pattern Anal. Mach. Intell. 29(1), 167\u2013172 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"43_CR17","doi-asserted-by":"publisher","first-page":"1747","DOI":"10.1523\/JNEUROSCI.0514-16.2016","volume":"37","author":"F Pennacchietti","year":"2017","unstructured":"Pennacchietti, F., et al.: Nanoscale molecular reorganization of the inhibitory postsynaptic density is a determinant of GABAergic synaptic potentiation. J. Neurosci. 37, 1747\u20131756 (2017)","journal-title":"J. Neurosci."},{"issue":"4","key":"43_CR18","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1038\/nn.4268","volume":"19","author":"C Rossant","year":"2016","unstructured":"Rossant, C., et al.: Spike sorting for large, dense electrode arrays. Nat. Neurosci. 19(4), 634\u2013641 (2016)","journal-title":"Nat. Neurosci."},{"key":"43_CR19","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"43_CR20","first-page":"160","volume":"4","author":"MI Sereno","year":"1991","unstructured":"Sereno, M.I., Allman, J.: Cortical visual areas in mammals. Neural Basis Vis. Funct. 4, 160\u2013172 (1991)","journal-title":"Neural Basis Vis. Funct."},{"key":"43_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.7554\/eLife.22794","volume":"6","author":"S Tafazoli","year":"2017","unstructured":"Tafazoli, S., et al.: Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex. eLife 6, 1\u201339 (2017)","journal-title":"eLife"},{"issue":"8","key":"43_CR22","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.1152\/jn.00737.2013","volume":"112","author":"B Vermaercke","year":"2014","unstructured":"Vermaercke, B., Gerich, F.J., Ytebrouck, E., Arckens, L., Op de Beeck, H.P., Van den Bergh, G.: Functional specialization in rat occipital and temporal visual cortex. J. Neurophysiol. 112(8), 1963\u20131983 (2014)","journal-title":"J. Neurophysiol."},{"key":"43_CR23","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.bbr.2014.12.053","volume":"285","author":"D Zoccolan","year":"2015","unstructured":"Zoccolan, D.: Invariant visual object recognition and shape processing in rats. Behav. Brain Res. 285, 10\u201333 (2015)","journal-title":"Behav. Brain Res."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-11015-4_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T01:35:29Z","timestamp":1674351329000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-11015-4_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030110147","9783030110154"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-11015-4_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}