Publications
New
Our mental image reconstruction paper was officially published in the journal Neural Networks and featured by QST, as well as several media outlets [jp1, jp2, jp3, jp4, jp5, en1, en2, en3, en4]."
Our presentation was selected for the Best Poster Presentation Award at The 5th Annual Meeting of the Quantum Life Science Society.
最近NICTさんが我々の開発した量子インスパイア正準相関分析（以下のKoide-Majima & Majima, Neural Networks, 2021）を使ったデモアプリを作ってくださいました。よろしければこちらでも遊んでみてください。
qiCCAを利用した「あてっこゲーム」
People in National Institute of Information and Communications Technology (NICT) kindly created a demo-app using our proposed quantum-inspired canonical correlation analysis. Although only the Japanese version is available, if you are interested in, please play with it!
Demo App using qiCCA
Papers
Koide-Majima N*, Nishimoto S, Majima K*. Mental image reconstruction from human brain activity. Neural Networks. 2024. [DOI] [bioRxiv] [gitHub]
Cheng FL, Horikawa T, Majima K, Tanaka M, Abdelhack M, Aoki SC, Hirano J, Kamitani Y. Reconstructing visual illusory experiences from human brain activity. Science Advances. 2023. [DOI] [bioRxiv]
Ho JK, Horikawa T, Majima K, Cheng F, Kamitani Y. Inter-individual deep image reconstruction via hierarchical neural code conversion. Neuroimage. 2023. [DOI] [bioRxiv]
Tanigawa H., Majima K., Takei R., Kawasaki K., Sawahata H., Nakahara K., Iijima A., Suzuki T., Kamitani Y., Hasegawa I., "Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex." Cell Reports, Vol. 39, 110676, 2022. [DOI] [Press release (in Japanese)] [News (in Chinese)]
Koide-Majima N.*, Majima K.*, “Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning.” Physical Review A, Vol. 104, 062411, 2021. [DOI] [arXiv] [Code]
Nonaka S.*, Majima K.*, Aoki S.C.*, Kamitani Y., "Brain hierarchy score: Which deep neural networks are hierarchically brain-like?" iScience, Vol. 24, 103013, 2021. [DOI] [bioRxiv]
Koide-Majima N.*, Majima K.*, “Quantum-inspired canonical correlation analysis for exponentially large dimensional data,” Neural Networks, Vol. 135, pp.55-67, 2021. [DOI] [arXiv] [Code]
Shen G.*, Horikawa T.*, Majima K.*, Kamitani Y., “Deep image reconstruction from human brain activity,” PLOS Computational Biology, Vol. 15, e1006633, 2019. [DOI] [bioRxiv] [Code] [YouTube 1] [YouTube 2] [YouTube 3]
Shen G., Dwivedi K., Majima K., Horikawa T., Kamitani Y., “End-to-end deep image reconstruction from human brain activity,” Frontiers in Computational Neuroscience, Vol.13, 21, 2019. [DOI] [bioRxiv] [Code] [YouTube]
Satake E.*, Majima K.*, Aoki S.C., Kamitani Y., “Sparse ordinal logistic regression and its application to brain decoding,” Frontiers in Neuroinformatics, Vol. 12, 51, 2018. [DOI] [bioRxiv] [Code]
Miyakawa N., Majima K., Sawahata H., Kawasaki K., Matsuo T., Kotake N., Suzuki T., Kamitani Y., Hasegawa I., “Heterogeneous redistribution of facial subcategory information within and outside the face-selective domain in primate inferior temporal cortex,” Cerebral Cortex, Vol. 28, pp.1416–1431, 2018. [DOI]
Majima K.*, Sukhanov P.*, Horikawa T., Kamitani Y., “Position information encoded by population activity in hierarchical visual areas,” eNeuro, Vol. 4, ENEURO.0268-16.2017, 2017. [DOI] [bioRxiv]
Hasegawa M.*, Majima K.*, Itokazu T., Maki T., Albrecht U.R., Castner N., Izumo M., Sohya K., Sato T.K., Kamitani Y., Sato T.R., “Selective suppression of local circuits during movement preparation in the mouse motor cortex,” Cell Reports, Vol. 18, pp. 2676-2686, 2017. [DOI]
Nakahara K., Adachi K., Kawasaki K., Matsuo T., Sawahata H., Majima K., Takeda M., Sugiyama S., Nakata R., Iijima A., Tanigawa H., Suzuki T., Kamitani Y., Hasegawa I., “Associative-memory representations emerge as shared spatial patterns of theta activity spanning the primate temporal cortex,” Nature Communications, Vol. 7, 11827, 2016. [DOI] [Press release (in Japanese)]
Takemiya M., Majima K., Tsukamoto M., Kamitani Y., “BrainLiner: A neuroinformatics platform for sharing time-aligned brain-behavior data,” Frontiers in Neuroinformatics, Vol 10, 3, 2016. [DOI]
Matsuo T., Kawasaki K., Kawai K., Majima K., Masuda H., Murakami H., Kunii N., Kamitani Y., Kameyama S., Saito N., Hasegawa I., “Alternating zones selective to faces and written words in the human ventral occipitotemporal cortex,” Cerebral Cortex, Vol.25, pp.1265-1277, 2015. [DOI] [Press release (in Japanese)]
Majima K., Matsuo T., Kawasaki K., Kawai K., Saito N., Hasegawa I., Kamitani Y., “Decoding visual object categories from temporal correlations of ECoG signals,” Neuroimage, Vol.90, pp.74-83, 2014. [DOI]
Toda H., Suzuki T., Sawahata H., Majima K., Kamitani Y., Hasegawa I., “Simultaneous recording of ECoG and intracortical neuronal activity using a flexible multichannel electrode-mesh in visual cortex,” Neuroimage, Vol.54, pp.203-212, 2011. [DOI]
解説記事など （Review, commentary articles）
間島慶, 小出（間島）真子, “量子インスパイアドアルゴリズムによる機械学習の高速化” 日本神経回路学会誌, Vol.29, pp.??-??, 2022年. （2023年1月刊行予定）
堀川友慈, 間島慶, “脳情報デコーディング,” 細胞工学, Vol.34, pp.638-643, 2015年.
間島慶, 神谷之康, “Brain-Machine Interfaceの現状と将来の展望,” BRAIN and NERVE－神経研究の進歩, Vol.63, pp.241-246, 2011年. [PubMed]
Others （Lectures, etc）