Publications

New

• 解説記事「心の中に思い浮かべたイメージを脳信号から可視化する」をBRAIN and NERVE誌に寄稿しました。

• The official web site for our mental image reconstruction study has been released. In response to reader requests, it offers program code with a Google Colab tutorial, FAQs, and visualization materials.

• 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] [WebPage] [YouTube]

• Oyama K, Majima K, Nagai Y, Hori Y, Hirabayashi T, Eldridge MAG, Mimura K, Miyakawa N, Fujimoto A, Hori Y, Iwaoki H, Inoue KI, Saunders RC, Takada M, Yahata N, Higuchi M, Richmond BJ, Minamimoto T. Distinct roles of monkey OFC-subcortical pathways in adaptive behavior. Nature Communications. 2024. [DOI] [Press release (in English)] [Press release (in Japanese)]

• Fukuma R*, Majima K*, Kawahara Y, Yamashita O, Shiraishi Y, Kishima H, Yanagisawa T. Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. Communications Biology. 2024. [DOI] [Code]

• Abe K*, Kambe Y*, Majima K*, Hu Z*, Ohtake M*, Momennezhad A, Izumi H, Tanaka T, Matunis A, Stacy E, Itokazu T, Sato TR, Sato T. Functional diversity of dopamine axons in prefrontal cortex during classical conditioning. eLife. 2024. [DOI]

• 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）

• 小出（間島）真子, 西本伸志, 間島慶.  "⼼の中に思い浮かべたイメージを脳信号から可視化する".  BRAIN and NERVE. 2024年11月刊行予定.

• 八幡憲明, 間島慶. "量子コンピューティング技術の医学応用の可能性". 医学のあゆみ. 290(4). 2024. [Back number]

• 田中宗, 後藤隼人, 間島慶, 林浩平, 御手洗光祐. "今すぐ使える量子計算！？". 日本神経回路学会誌. 29(4):163. 2022. [J-stage]

• 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. 29(4):186-192. 2022. [J-stage]

• 堀川友慈, 間島慶. “脳情報デコーディング”. 細胞工学. 34:638-643. 2015. [Back number]

• 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. 63:241-246. 2011. [PubMed]

Others （Lectures, etc）

• Lecture video on "The Basics of Brain Decoding" (in Japanese)