Horikawa Tomoyasu

ホリカワトモヤス | Horikawa Tomoyasu

Affiliation and department：
Homepage URL (1)： http://kaken.nii.ac.jp/d/r/60721876.ja.html

Research field (3)： Experimental psychology , Sensitivity (kansei) informatics , Cognitive sciences

Research theme for competitive and other funds (6)：

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Papers (15)：

Fan L. Cheng, Tomoyasu Horikawa, Kei Majima, Misato Tanaka, Mohamed Abdelhack, Shuntaro C. Aoki, Jin Hirano, Yukiyasu Kamitani. Reconstructing visual illusory experiences from human brain activity. Science Advances. 2023. 9. 46
Jun Kai Ho, Tomoyasu Horikawa, Kei Majima, Fan Cheng, Yukiyasu Kamitani. Inter-individual deep image reconstruction via hierarchical neural code conversion. NeuroImage. 2023. 271. 120007-120007
Tomoyasu Horikawa, Yukiyasu Kamitani. Attention modulates neural representation to render reconstructions according to subjective appearance. Communications biology. 2022. 5. 1. 34-34
Santiago Alcaide, Jacobo Sitt, Tomoyasu Horikawa, Alvaro Romano, Ana Carolina Maldonado, Agustín Ibanez, Mariano Sigman, Yukiyasu Kamitani, Pablo Barttfeld. fMRI lag structure during waking up from early sleep stages. Cortex; a journal devoted to the study of the nervous system and behavior. 2021. 142. 94-103
Tomoyasu Horikawa, Alan S Cowen, Dacher Keltner, Yukiyasu Kamitani. The Neural Representation of Visually Evoked Emotion Is High-Dimensional, Categorical, and Distributed across Transmodal Brain Regions. iScience. 2020. 23. 5. 101060-101060

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MISC (17)：

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Professional career (1)：

Work history (7)：

2022/04 - 現在 NTTコミュニケーション科学基礎研究所 Human Information Science Laboratory Distinguished Researcher
2021/07 - 2022/03 NTT Communication Science Laboratories Human Information Science Laboratory Senior Research Scientist
2018/10 - 2022/03 国立研究開発法人科学技術振興機構 (JST) さきがけ兼任研究者
2021/04 - 2021/06 NTT Communication Science Laboratories Human Information Science Laboratory Research Scientist
2016/04 - 2021/03 Advanced Telecommunications Research Institute International

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Awards (2)：

The telecommunications advancement foundation The 33rd telecommunication system technology award Generic decoding of seen and imagined objects using hierarchical visual features
Japanese Neural Network Society best paper award

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