Author

Hiroki Kojima

Chiba Institute of Technology;ORCID 0000-0002-8894-1694Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Yuichi YamashitaiD· 2 shared Akiko KashiwagiiD· 1 shared Asako ToyamaiD· 1 shared Hinata Nago· 1 shared Hiroyuki YamaguchiiD· 1 shared Michiyo SugawaraiD· 1 shared SHINSUKE SUZUKIiD· 1 shared Takashi IkegamiiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 14 mutual co-author links

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2 shared papersNeuroscience

Yuichi YamashitaORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 4, 2026

Vision-language representations link food perception to subjective valuation

Yuhi Aoki, Asako Toyama, Michiyo Sugawara…·SHINSUKE SUZUKI

The paper shows that a vision-language model better predicts food valuation than vision-only models by encoding higher-level food attributes.

DOI 10.64898/2026.11.01.763512

𝕏 PostBluesky

NeurosciencebioRxivPreprintFeb 21, 2026

Synergistic and Redundant Information Dynamics Exhibit Dissociable Alterations Across Major Psychiatric Disorders

Hinata Nago, Hiroki Kojima, Hiroyuki Yamaguchi, Yuichi Yamashita

The paper analyzes information dynamics in brain networks of psychiatric disorders, finding distinct patterns of synergy and redundancy reduction or increase in schizophrenia, autism, and ADHD.

DOI 10.64898/2026.02.20.706948

𝕏 PostBluesky

MicrobiologybioRxivPreprintAug 6, 2023

Revealing Gene Expression Heterogeneity in a Clonal Population of Tetrahymena thermophila through Single-Cell RNA Sequencing

Hiroki Kojima, Akiko Kashiwagi, Takashi Ikegami

The paper uses scRNA-seq to analyze gene expression variability in a clonal population of Tetrahymena thermophila, identifying six clusters with distinct functional annotations.

DOI 10.1101/2023.08.06.551249

scRNA-seqdeep learning

𝕏 PostBluesky