publications

2025

1. iScience

   Is my "red" your "red"?: Evaluating structural correspondences between color similarity judgments using unsupervised alignment

   Genji Kawakita, Ariel Zeleznikow-Johnston, Ken Takeda, and 2 more authors

   iScience, 2025

   Bib

   @article{kawakita2025isciencered,
     title = {Is my "red" your "red"?: Evaluating structural correspondences between color similarity judgments using unsupervised alignment},
     author = {Kawakita, Genji and Zeleznikow-Johnston, Ariel and Takeda, Ken and Tsuchiya, Naotsugu and Oizumi, Masafumi},
     journal = {iScience},
     volume = {28},
     pages = {112029},
     year = {2025},
   }

2. arXiv

   Measuring How LLMs Internalize Human Psychological Concepts: A preliminary analysis

   Hiro Taiyo Hamada, Ippei Fujisawa, Genji Kawakita, and 1 more author

   arXiv:2506.23055 [cs.LG], 2025

   Bib

   @article{hamada2025arxiv,
     title = {Measuring How LLMs Internalize Human Psychological Concepts: A preliminary analysis},
     author = {Hamada, Hiro Taiyo and Fujisawa, Ippei and Kawakita, Genji and Yamada, Yuki},
     journal = {arXiv:2506.23055 [cs.LG]},
     year = {2025}
   }

2024

1. Sci. Rep.

   Gromov-Wasserstein unsupervised alignment reveals structural correspondences between the color similarity structures of humans and large language models

   Genji Kawakita, Ariel Zeleznikow-Johnston, Naotsugu Tsuchiya, and 1 more author

   Scientific Reports, 2024

   Bib

   @article{kawakita2024scirep,
     title = {Gromov-Wasserstein unsupervised alignment reveals structural correspondences between the color similarity structures of humans and large language models},
     author = {Kawakita, Genji and Zeleznikow-Johnston, Ariel and Tsuchiya, Naotsugu and Oizumi, Masafumi},
     journal = {Scientific Reports},
     volume = {14},
     pages = {15917},
     year = {2024},
   }

2023

1. J. Neurosci.

   Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems

   Shunsuke Kamiya, Genji Kawakita, Shuntaro Sasai, and 2 more authors

   The Journal of Neuroscience, 2023

   Bib

   @article{kamiya2023jneurosci,
     title = {Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems},
     author = {Kamiya, Shunsuke and Kawakita, Genji and Sasai, Shuntaro and Kitazono, Jun and Oizumi, Masafumi},
     journal = {The Journal of Neuroscience},
     volume = {43},
     number = {2},
     pages = {270--281},
     year = {2023}
   }

2022

1. Net. Neurosci.

   Quantifying brain state transition cost via Schrödinger Bridge

   Genji Kawakita, Shunsuke Kamiya, Shuntaro Sasai, and 2 more authors

   Network Neuroscience, 2022

   Bib

   @article{kawakita2022netneurosci,
     title = {Quantifying brain state transition cost via Schr{\"o}dinger Bridge},
     author = {Kawakita, Genji and Kamiya, Shunsuke and Sasai, Shuntaro and Kitazono, Jun and Oizumi, Masafumi},
     journal = {Network Neuroscience},
     volume = {6},
     number = {1},
     pages = {118--134},
     year = {2022},
   }

2019

1. J. Comp. Neurosci.

   Network structure and input integration in competing firing rate models for decision-making

   Victor J. Barranca, Han Huang, and Genji Kawakita

   Journal of Computational Neuroscience, 2019

   Bib

   @article{barranca2019jcompneurosci,
     title = {Network structure and input integration in competing firing rate models for decision-making},
     author = {Barranca, Victor J. and Huang, Han and Kawakita, Genji},
     journal = {Journal of Computational Neuroscience},
     volume = {46},
     number = {2},
     pages = {145--168},
     year = {2019}
   }

2017

1. Perception

   Larger Stimuli Require Longer Processing Time for Perception

   Ryota Kanai, Edwin S. Dalmaijer, Maxine T. Sherman, and 2 more authors

   Perception, 2017

   Bib

   @article{kanai2017perception,
     title = {Larger Stimuli Require Longer Processing Time for Perception},
     author = {Kanai, Ryota and Dalmaijer, Edwin S. and Sherman, Maxine T. and Kawakita, Genji and Paffen, Chris L. E.},
     journal = {Perception},
     volume = {46},
     number = {5},
     pages = {605--623},
     year = {2017}
   }