The Correspondence Between Monkey Visual Areas and Layers in DCNN Saliency Map Model for Representations of Natural Images

被引：0

作者：

Wagatsuma, Nobuhiko ^{[1
]}

Hidaka, Akinori ^{[2
]}

Tamura, Hiroshi ^{[3
,4
]}

机构：

[1] Toho Univ, Fac Sci, Tokyo, Japan

[2] Tokyo Denki Univ, Sch Sci & Engn, Tokyo, Japan

[3] Osaka Univ, Grad Sch Frontier Biosci, Suita, Osaka, Japan

[4] Ctr Informat & Neural Networks CiNet, Suita, Osaka, Japan

来源：

I-PERCEPTION | 2019年 / 10卷

关键词：

Deep Convolutional Neural Networks; Saliency Map; Visual Areas;

D O I：

暂无

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

引用

页码：89 / 89

页数：1

共 4 条

[1] Correspondence between monkey visual cortices and layers of a saliency map model based on a deep convolutional neural network for representations of natural images
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