{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T10:16:13Z","timestamp":1790763373132,"version":"4.1.0"},"reference-count":57,"publisher":"American Physiological Society","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Neurophysiology"],"published-print":{"date-parts":[[2014,10,15]]},"abstract":"<jats:p>Recent studies have revealed a surprising degree of functional specialization in rodent visual cortex. Anatomically, suggestions have been made about the existence of hierarchical pathways with similarities to the ventral and dorsal pathways in primates. Here we aimed to characterize some important functional properties in part of the supposed \u201cventral\u201d pathway in rats. We investigated the functional properties along a progression of five visual areas in awake rats, from primary visual cortex (V1) over lateromedial (LM), latero-intermediate (LI), and laterolateral (LL) areas up to the newly found lateral occipito-temporal cortex (TO). Response latency increased &gt;20 ms from areas V1\/LM\/LI to areas LL and TO. Orientation and direction selectivity for the used grating patterns increased gradually from V1 to TO. Overall responsiveness and selectivity to shape stimuli decreased from V1 to TO and was increasingly dependent upon shape motion. Neural similarity for shapes could be accounted for by a simple computational model in V1, but not in the other areas. Across areas, we find a gradual change in which stimulus pairs are most discriminable. Finally, tolerance to position changes increased toward TO. These findings provide unique information about possible commonalities and differences between rodents and primates in hierarchical cortical processing.<\/jats:p>","DOI":"10.1152\/jn.00737.2013","type":"journal-article","created":{"date-parts":[[2014,7,3]],"date-time":"2014-07-03T04:13:29Z","timestamp":1404360809000},"page":"1963-1983","source":"Crossref","is-referenced-by-count":63,"title":["Functional specialization in rat occipital and temporal visual cortex"],"prefix":"10.1152","volume":"112","author":[{"given":"Ben","family":"Vermaercke","sequence":"first","affiliation":[{"name":"Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian J.","family":"Gerich","sequence":"additional","affiliation":[{"name":"Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ellen","family":"Ytebrouck","sequence":"additional","affiliation":[{"name":"Laboratory of Neuroplasticity and Neuroproteomics, KU Leuven, Leuven, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lutgarde","family":"Arckens","sequence":"additional","affiliation":[{"name":"Laboratory of Neuroplasticity and Neuroproteomics, KU Leuven, Leuven, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans P.","family":"Op de Beeck","sequence":"additional","affiliation":[{"name":"Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gert","family":"Van den Bergh","sequence":"additional","affiliation":[{"name":"Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium; and"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"24","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3629-12.2013"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.11.013"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1163\/156856897X00357"},{"key":"B4","doi-asserted-by":"crossref","first-page":"371","DOI":"10.3758\/BF03330623","volume":"26","author":"Braje WL","year":"1998","journal-title":"Psychobiology"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1111\/j.1460-9568.1989.tb00369.x"},{"key":"B6","volume-title":"Spatial Vision","author":"De Valois RL","year":"1988"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2012.01.010"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1016\/0006-8993(83)90370-0"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/1.1.1"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1999.82.1.301"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1016\/0166-2236(92)90344-8"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1167\/6.10.1"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1126\/science.1117593"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2391-12.2012"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1995.73.1.218"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1037\/a0015143"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2007.12.006"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00168.2006"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3795-07.2007"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1016\/S0960-9822(00)00089-0"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.12.004"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1016\/0166-4328(82)90081-X"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1007\/BF00230466"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0623-08.2008"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2010.01.033"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1007\/BF00236223"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1002\/1096-9861(20001030)426:4<505::AID-CNE1>3.0.CO;2-M"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1163\/156856897X00366"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0040027"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-4328(02)00126-2"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.1038\/14819"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1995.73.2.713"},{"key":"B33","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0179-10.2010"},{"key":"B34","unstructured":"Rychetsky M.\n                      Algorithms and Architectures for Machine Learning Based on Regularized Neural Networks and Support Vector Approaches\n                      . 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