Majima Kei

マジマケイ | Majima Kei

Affiliation and department：
Job title： Researcher
Other affiliations (1)：

Homepage URL (1)： https://sites.google.com/view/majimajimajima/home

Research field (1)： Basic brain sciences

Research keywords (6)： Quantum computer , Quantum machine learning , Machine learning , fMRI , Electrocorticography (ECoG) , Brain decoding

Research theme for competitive and other funds (3)：

2021 - 2025 Quantum inspired machine learning for high dimensional neural data analysis
2020 - 2023 Development of quantum-inspired algorithms for decoding high-dimensional neural data
2011 - 2013 皮質脳波による視覚情報デコーディング

Papers (27)：

Naoko Koide-Majima, Shinji Nishimoto, Kei Majima. Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation. Neural Networks. 2024. 170. 349-363
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
Kei Oyama, Kei Majima, Yuji Nagai, Yukiko Hori, Toshiyuki Hirabayashi, Mark A G Eldridge, Koki Mimura, Naohisa Miyakawa, Atsushi Fujimoto, Yuki Hori, et al. Distinct roles of monkey OFC-subcortical pathways in adaptive behavior. 2023
Kenta Abe, Yuki Kambe, Kei Majima, Zijing Hu, Makoto Ohtake, Ali Momennezhad, Hideki Izumi, Takuma Tanaka, Ashley Matunis, Emma Stacy, et al. Enhanced Aversive Signals During Classical Conditioning in Dopamine Axons in Medial Prefrontal Cortex. bioRxiv : the preprint server for biology. 2023
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

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MISC (12)：

Naoko Koide-Majima, Kei Majima. Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning. 2020
Emi Satake, Kei Majima, Shuntaro C. Aoki, Yukiyasu Kamitani. Sparse Ordinal Logistic Regression and Its Application to Brain Decoding. Frontiers Neuroinformatics. 2018. 12. 51-51
Guohua Shen, Kshitij Dwivedi, Kei Majima, Tomoyasu Horikawa, Yukiyasu Kamitani. End-to-end deep image reconstruction from human brain activity. bioRxiv preprint. 2018
Kei Majima. Python & MATLAB implementation of sparse ordinal logistic regression (SOLR). 2017
Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani. Deep image reconstruction from human brain activity. bioRxiv preprint. 2017

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Books (1)：

Lectures and oral presentations (8)：

Machine learning for high-dimensional big data
(RIKEN workshop Theory towards Brains, Machines and Minds 2019)
予測対象の性質に合わせた脳情報デコーディング
(神経活動解析に関する実践数理モデルワークショップ 2017)
Deep Image Reconstruction from Human Brain Activity
(Cognitive Computational Neuroscience (CCN) 2017 2017)
予測対象の性質に合わせた脳情報デコーディング ~ 順序データ・位置情報を対象として ~
(第2回協調的知能(CI)共同研究セミナー 2017)
Neural decoding of visual object categories using temporal patterns of ECoG signals.
(Society for Neuroscience 2010)

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Professional career (2)：

Work history (9)：

2021/10 - 現在 JST PREST researcher
2021/04 - 現在 National Institutes for Quantum and Radiological Science and Technology Institute for Quantum Life Science Researcher
2020/12 - 2021/03 National Institutes for Quantum and Radiological Science and Technology Institute for Quantum Life Science, Researcher
2015/09 - 2020/11 Kyoto University Graduate School of Informatics Assistant Professor
2014/04 - 2015/08 ATR computational Neuroscience Laboratory Researcher

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Awards (2)：

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