{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T23:05:40Z","timestamp":1649027140720},"reference-count":11,"publisher":"MIT Press - Journals","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Computation"],"published-print":{"date-parts":[[2005,8,1]]},"abstract":"<jats:p> Sensitivity to image motion contrast, that is, the relative motion between different parts of the visual field, is a common and computationally important property of many neurons in the visual pathways of vertebrates. Here we illustrate that, as a classification problem, motion contrast detection is linearly nonseparable. In order to do so, we prove a theorem stating a sufficient condition for linear nonseparability. We argue that nonlinear combinations of local measurements of velocity at different locations and times are needed in order to solve the motion contrast problem. <\/jats:p>","DOI":"10.1162\/0899766054026666","type":"journal-article","created":{"date-parts":[[2005,5,31]],"date-time":"2005-05-31T23:28:36Z","timestamp":1117582116000},"page":"1700-1705","source":"Crossref","is-referenced-by-count":1,"title":["Motion Contrast Classification Is a Linearly Nonseparable Problem"],"prefix":"10.1162","volume":"17","author":[{"given":"Alireza S.","family":"Mahani","sequence":"first","affiliation":[{"name":"Physics Department, Washington University, St. Louis, MO 63130, U.S.A."}]},{"given":"Ralf","family":"Wessel","sequence":"additional","affiliation":[{"name":"Physics Department, Washington University, St. Louis, MO 63130, U.S.A."}]}],"member":"281","reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.2.000284"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.ne.08.030185.002203"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.17-21-08621.1997"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.031907"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1126\/science.6836313"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1515\/REVNEURO.2003.14.1-2.85"},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1016\/0042-6989(85)90171-3"},{"key":"p_9","doi-asserted-by":"publisher","DOI":"10.1007\/BF00274887"},{"key":"p_10","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00183-1"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1016\/0042-6989(91)90033-2"},{"key":"p_12","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0173(02)00217-5"}],"container-title":["Neural Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/0899766054026666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:51:34Z","timestamp":1615585894000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/neco\/article\/17\/8\/1700-1705\/6999"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,8,1]]},"references-count":11,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2005,8,1]]}},"alternative-id":["10.1162\/0899766054026666"],"URL":"https:\/\/doi.org\/10.1162\/0899766054026666","relation":{},"ISSN":["0899-7667","1530-888X"],"issn-type":[{"value":"0899-7667","type":"print"},{"value":"1530-888X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,8,1]]}}}