Author

Sakura Nishijima

National Institutes of Natural Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Keiichi KitajoiD· 1 shared Kenichi YuasaiD· 1 shared Makoto HagiharaiD· 1 shared Mebuki IzumiyaiD· 1 shared Ryo FujihiraiD· 1 shared Shohei TsuchimotoiD· 1 shared Yuka O. OkazakiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Keiichi KitajoORCID

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1 paper

Recent·Most cited

Pretraining Objective Shapes Cross-Category Generalization in Affective Image Prediction: A Geometric Comparison of Vision Transformer Encoders

Shohei Tsuchimoto, Yuka O. Okazaki, Kenichi Yuasa, Sakura Nishijima, Mebuki Izumiya, Makoto Hagihara, Ryo Fujihira, Keiichi Kitajo

This paper compares how different pretraining objectives affect the generalization of Vision Transformers in affective image prediction, finding that contrastive learning outperforms classification pretraining in cross-category generalization.

bioRxiv · May 13, 2026 · PreprintNeuroscience