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Does such representation alignment naturally extend to other visual tasks beyond recognizing objects in static images? In this study, we expanded the exploration to the recognition of human actions from videos and assessed the representation capabilities and alignment of two-stream DCNNs in comparison with brain regions situated along ventral and dorsal pathways. Using decoding analysis and representational similarity analysis, we show that DCNN models do not show hierarchical representation alignment to human brain across visual regions when processing action videos. Instead, later layers of DCNN models demonstrate greater representation similarities to the human visual cortex. These findings were revealed for two display formats: photorealistic avatars with full-body information and simplified stimuli in the point-light display. The discrepancies in representation alignment suggest fundamental differences in how DCNNs and the human brain represent dynamic visual information related to actions.<\/jats:p>","DOI":"10.1162\/jocn_a_02233","type":"journal-article","created":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T16:42:12Z","timestamp":1722962532000},"page":"2458-2480","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":2,"title":["Human Visual Pathways for Action Recognition versus Deep Convolutional Neural Networks: Representation Correspondence in Late but Not Early Layers"],"prefix":"10.1162","volume":"36","author":[{"given":"Yujia","family":"Peng","sequence":"first","affiliation":[{"name":"School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, People's Republic of China"},{"name":"Institute for Artificial Intelligence, Peking University, Beijing, People's Republic of China"},{"name":"National Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence, Beijing, China"},{"name":"Department of Psychology, University of California, Los Angeles"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xizi","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjing","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of California, Los Angeles"},{"name":"Department of Statistics, University of California, Los Angeles"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, People's Republic of China"},{"name":"IDG\/McGovern Institute for Brain Research, Peking University, Beijing, People's Republic of China"},{"name":"Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, People's Republic of China"},{"name":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","published-online":{"date-parts":[[2024,11,1]]},"reference":[{"key":"2024101620193834100_bib1","doi-asserted-by":"publisher","first-page":"5661","DOI":"10.1073\/pnas.082483699","article-title":"Perception of biological motion without local image motion","volume":"99","author":"Beintema","year":"2002","journal-title":"Proceedings of the National Academy of Sciences, U.S.A."},{"key":"2024101620193834100_bib2","doi-asserted-by":"publisher","first-page":"e1006897","DOI":"10.1371\/journal.pcbi.1006897","article-title":"Deep convolutional models improve predictions of macaque V1 responses to natural images","volume":"15","author":"Cadena","year":"2019","journal-title":"PLoS Computational Biology"},{"key":"2024101620193834100_bib3","doi-asserted-by":"publisher","first-page":"e1003963","DOI":"10.1371\/journal.pcbi.1003963","article-title":"Deep neural networks rival the representation of primate IT cortex for core visual object recognition","volume":"10","author":"Cadieu","year":"2014","journal-title":"PLoS Computational Biology"},{"key":"2024101620193834100_bib4","doi-asserted-by":"publisher","first-page":"4724","DOI":"10.1109\/CVPR.2017.502","article-title":"Quo vadis, action recognition? 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