Junichi Chikazoe


Professor, Affective Data Science Division
BMK Center, Hiroshima University

Research Director

  • Neural basis of human taste perception
  • Neural basis of human olfactory perception
  • Neural basis of integrative information processing of vision and audition
  • Integration of deep learning and functional MRI
  • Elucidation of the monetary properties of emotion
CV
Past Achievements

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Quang Trung Pham

Assistant Professor, Affective Data Science Division
BMK Center, Hiroshima University

  • Integration of deep learning and functional MRI
  • Neural basis of human tactile perception
  • Development of algorithms for transforming EEG and fMRI signals
Past Achievements

Other Members

Postdoctoral Researcher: Daniel Lee

  • Modeling individual differences in preferences across the five senses

Research and Educational Assistant (Full-time): Hiroki Niwa

  • Elucidation of mechanisms underlying value representation using deep learning
  • Analysis of cognitive dynamics
  • Development of biomarkers for psychiatric and neurological disorders

Graduate Student (M1): Mai Duc Dat

  • Elucidation of representations of basic taste qualities in the human gustatory cortex using fMRI

Graduate Student (M1): Pham Dang Khoa

  • Investigation of neural representations of human tactile perception using fMRI

Graduate Student (M1): Duy Phan

  • Research on improving autonomic nervous system function through weak electrical stimulation

Research and Educational Assistant: Yohei Takeuchi

  • Development of novel functional connectivity analysis methods using deep learning
  • Estimation of individual characteristics based on deep-learning–based functional connectivity analysis

Research and Educational Assistant: Yoshiki Kanda

  • Development of methods for decoding emotional information from functional MRI data

Research and Educational Assistant: Dai Shimizu

  • Development of recommendation algorithms using artificial neural networks

Research and Educational Assistant: Fahad Shah

  • Development of recommendation algorithms using artificial neural networks

Research and Educational Assistant: Hoang Tran Xuan

  • Decoding tactile stimulus information from functional MRI data

Research and Educational Assistant: Yuta Todoroki

  • Development of denoising methods using autoencoders

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​Alumni

吉本隆明：愛知医科大学・精神科・助教

​​船井正太郎：理化学研究所・研究員

​小山雄太郎：Sandbox・Chief Research Officer

​​​成田泰基：Sansan株式会社

​​西山翔大：株式会社ZOZO

​​​堀涼：名古屋大学 大学院情報学研究科 社会情報学専攻に進学

​​野原裕太：株式会社　三菱総合研究所

Balbir Singh：Wake forest school of medicine

​加藤征広：東京工業大学大学院修士課程に進学

The Affective Data Science Division is a division of the BMK Center, Hiroshima University. Through functional MRI studies focusing on the five senses, we aim to achieve an integrated understanding of sensation, emotion, and cognition.

Among our members, Quang Trung Pham is employed by Hiroshima University and is engaged in a project on the integration of deep learning and functional MRI. Hiroki Niwa and Daniel Lee are employed through public research funding. Yohei Takeuchi, Yoshiki Kanda, Dai Shimizu, and Yuta Todoroki are undergraduate students, while Fahad Shah and Hoang Tran Xuan are graduate students; all of them work as research and educational assistants and are involved in research using machine learning approaches.

The Biophysiological Information Analysis Laboratory is a small research group; however, through close collaboration with the Sadato Laboratory, we actively pursue ambitious research projects while compensating for challenges typically faced by small laboratories, such as limited research resources and operational funding. Owing to our small size, members benefit from close and careful supervision by the principal investigator, Professor Junichi Chikazoe.

We are also recruiting graduate students and technical support staff who wish to be directly affiliated with the Biophysiological Information Analysis Laboratory. If you are interested, please feel free to contact us.

We are currently actively seeking graduate students, postdoctoral researchers, and industry partners for collaborative research. We welcome inquiries via the contact information listed above.
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Recruitment
Inquiries about Internships