Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models-Reference-Cited by-同舟云学术

Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models

Published:2017-10-31 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Karimi-Rouzbahani Hamid,Bagheri Nasour,Ebrahimpour Reza^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-017-13756-8.pdf

Reference65 articles.

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3. Yamins, D. L. K. et al. Performance-optimized hierarchical models predict neural responses in higher visual cortex. Proc. Natl. Acad. Sci. 111, 8619–8624 (2014).

4. Ghodrati, M., Farzmahdi, A., Rajaei, K., Ebrahimpour, R. & Khaligh-Razavi, S. M. Feedforward object-vision models only tolerate small image variations compared to human. Front. Comput. Neurosci. 8, 00074, https://doi.org/10.3389/fncom.2014.00074 (2014).

5. Karimi-Rouzbahani, H., Bagheri, N. & Ebrahimpour, R. Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition. Neuroscience 349, 48–63 (2017).

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