学術論文・著書

• Ikutani Y, Kubo T, Nishida S, Hata H, Matsumoto K, Ikeda K, Nishimoto S. (2020) Expert programmers have fine-tuned cortical representations of source code. eNeuro. in press
• Nakai T. Koide-Majima N, Nishimoto S. (2020) Correspondence of categorical and feature‐based representations of music in the human brain. Brain and Behavior e01936
• Koide-Majima N, Nakai T, Nishimoto S. (2020) Distinct dimensions of emotion in the human brain and their representation on the cortical surface. NeuroImage, 222:117258
• Nishida, S., Nakano, Y., Blanc, A., Maeda, N., Kado, M., & Nishimoto, S. (2020). Brain-Mediated Transfer Learning of Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence, 34:5281-5288.
• Nakai T, Nishimoto S. (2020) Quantitative models reveal the organization of diverse cognitive functions in the brain. Nat Commun. 11(1):1142.
• Shinkuma R, Nishida S, Kado M, Maeda N, Nishimoto S. (2019) Relational Network of People Constructed on the Basis of Similarity of Brain Activities. IEEE Access 7:110258-110266.
• Ikezoe K, Amano M, Nishimoto S, Fujita I. (2018) Mapping stimulus feature selectivity in macaque V1 by two-photon Ca2+ imaging: Encoding-model analysis of fluorescence responses to natural movies. Neuroimage. 180(Pt A):312–323.
• Nishida S, Nishimoto S. (2018) Decoding naturalistic experiences from human brain activity via distributed representations of words. Neuroimage. 180(Pt A):232–242.
• Nishimoto S, Huth AG, Bilenko NY, Gallant JL. (2017) Eye movement-invariant representations in the human visual system. Journal of Vision. 17(1):11
• Huth AG, Lee T, Nishimoto S, Bilenko NY, Vu A and Gallant JL (2016). Decoding the semantic content of natural movies from human brain activity. Front. Syst. Neurosci. 10:81.
• Çukur T, Huth AG, Nishimoto S, Gallant JL. (2016) Functional Subdomains within Scene-Selective Cortex: Parahippocampal Place Area, Retrosplenial Complex, and Occipital Place Area. The Journal of Neuroscience 36(40):10257-10273.
• Nishimoto S, Nishida S. (2016) Lining up brains via a common representational space. Trends in Cognitive Sciences. 20(8):565-7.
• Sasaki KS, Kimura R, Ninomiya T, Tabuchi Y, Tanaka H, Fukui M, Asada YC, Arai T, Inagaki M, Nakazono T, Baba M, Kato D, Nishimoto S, Sanada TM, Tani T, Imamura K, Tanaka S, Ohzawa I. (2015) Supranormal orientation selectivity of visual neurons in orientation-restricted animals. Scientific Reports, 5:16712.
• Tanaka T, Nishida S, Ogawa T (2015) Different target-discrimination times can be followed by the same saccade-initiation timing in different stimulus conditions during visual searches. J Neurophysiol 114:366–380.
• Koide N, Kubo T, Nishida S, Shibata T, Ikeda K. (2015) Art Expertise Reduces Influence of Visual Salience on Fixation in Viewing Abstract-paintings. PLOS ONE, 10(2):e0117696.
• Tao X, Zhang B, Shen G, Wensveen J, Smith EL 3rd, Nishimoto S, Ohzawa I, Chino YM. (2014) Early monocular defocus disrupts the normal development of receptive-field structure in v2 neurons of macaque monkeys. The Journal of Neuroscience, 34(41):13840-13854.
• Çukur T, Huth AG, Nishimoto S, Gallant JL. (2013) Functional Subdomains within Human FFA. The Journal of Neuroscience, 33(42):16748-16766.
• Çukur T, Nishimoto S, Huth AG, Gallant JL. (2013) Attention during natural vision warps semantic representation across the human brain. Nature Neuroscience, 16(6):763-770.
• Huth AG, Nishimoto S, Vu AT, Gallant JL. (2012) A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron, 76(6):1210-1224.
• Nishimoto S (2012) エンコーディングモデルを用いた視覚情報処理研究：情報表現，予測，デコーディング. 日本神経回路学会誌, 19(1):39-49.
• Tao X, Zhang B, Smith EL 3rd, Nishimoto S, Ohzawa I, Chino YM. (2012) Local sensitivity to stimulus orientation and spatial frequency within the receptive fields of neurons in visual area 2 of macaque monkeys. Journal of Neurophysiology, 107(4):1094-1110.
• Gallant JL, Nishimoto S, Naselaris T, Wu MCK. (2011) System identification, encoding models and decoding models: a powerful new approach to fMRI research. In Kriegeskorte N and Kreiman G (eds.), Visual Population Codes (pp.163-188), Cambridge: MIT press.
• Nishimoto S, Gallant JL. (2011) A three-dimensional spatiotemporal receptive field model explains responses of area MT neurons to naturalistic movies. The Journal of Neuroscience, 31(41):14551-14564.
• Nishimoto S, Vu AT, Naselaris T, Benjamini Y, Yu B, Gallant JL. (2011) Reconstructing visual experiences from brain activity evoked by natural movies. Current Biology, 21(19):1641-1646.
• Naselaris T, Kay KN, Nishimoto S, Gallant JL. (2011) Encoding and decoding in fMRI. NeuroImage, 56(2):400-410.
• Gallant JL, Naselaris T, Prenger R, Kay KN, Stansbury DE, Oliver M, Vu AT, Nishimoto S. (2009) Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity. Foundations of Augmented Cognition. Lecture Notes in Computer Science, 5638:390-393.
• Nishimoto S, Ishida T, Ohzawa I. (2006) Receptive field properties of neurons in the early visual cortex revealed by local spectral reverse correlation. The Journal of Neuroscience, 26(12):3269-3280.
• Nishimoto S, Arai M, Ohzawa I. (2005) Accuracy of subspace mapping of spatiotemporal frequency domain visual receptive fields. Journal of Neurophysiology, 93(6):3524-3536.

学会発表・シンポジウム発表等（2013年以降）

• 【Invited talk】Nishimoto S (2015) Modeling and decoding of natural visual experiences. National Taiwan University, Taipei, Taiwan
• 【Invited talk】Nishimoto S (2015) Modeling and decoding of natural visual experiences. National Yang-Ming University, Taipei, Taiwan
• 【Invited talk】Nishimoto S (2015) Modeling of brain activity during natural vision: object and beyond. International Symposium on Object Vision in Human, Monkey, and Machine
• 【Invited talk】Nishimoto S (2015) Decoding visual experiences: toward a quantitative basis for vision-based BCI. Germany-Japan Adaptive BCI Workshop
• Naito T, Wakabayashi M, Kitaguchi M, Nishimoto S, Matsumoto E, Sato H. (2015) The latent factors structure for aesthetic judgments and their neural substrates. Society for Neuroscience Annual Meeting 2015 438.21, Chicago, IL, USA
• Nishida S, Huth AG, Gallant JL, Nishimoto S (2015) Word statistics in large-scale texts explain the human cortical semantic representation of objects, actions, and impressions. Society for Neuroscience Annual Meeting 2015 333.13, Chicago, IL, USA
• 【Invited talk】Nishimoto S (2015) 脳・数理モデル化の現在と問題点、そして未来予想：実験神経科学の視点から 第25回日本神経回路学会
• 【Invited talk】Nishimoto S (2015) 映像知覚の脳内表象 映像情報メディア学会年次大会2015
• 【Invited talk】Nishimoto S (2015) 自然視知覚の脳内表象 東京大学医学部医学科
• 【Invited talk】Nishimoto S (2015) High-dimensional modeling of human brain activity. RIKEN QBiC Symposium
• 【Invited talk】Nishimoto S (2015) Experimental approaches to deciphering perceptual experiences. The Initiative for a Synthesis in Studies of Awareness Summer School
• Nishida S, Huth AG, Gallant JL, Nishimoto S (2015) A corpus-based natural language model explains semantic representation distributed across cortical areas in the human brain. Japanese Neuroscience Society 2015 annual meeting 3P202
• Ikezoe K, Saito Y, Nishimoto S, Fujita I (2015) Orthogonal intersection of functional maps in macaque visual area V4. Japanese Neuroscience Society 2015 annual meeting 2P183
• 【Invited talk】Nishimoto S (2015) Decoding human perception during natural vision. Japanese Neuroscience Society 2015 annual meeting 2LS03
• Amano M, Ikezoe K, Nishimoto S, Fujita I (2015) Orientation and spatial frequency maps in monkey V4 revealed at the single-cell resolution. Japanese Neuroscience Society 2015 annual meeting 1P230
• 【Invited talk】Nishimoto S (2015) Modeling and decoding of human perceptual experiences. The 6th BRI Symposium in Niigata
• Nishimoto S (2015) Deciphering personal brains. Science Foo Camp 2015, Google, CA, USA
• 【Invited talk】Nishimoto S (2015) ヒト脳内情報表象と人工知能：現状と期待　理化学研究所QBiCワークショップ 「人工知能による科学・技術の革新」
• 【Invited talk】Nishimoto S (2015) 脳活動予測モデル構築を介した脳内表象の定量理解　東京大学駒場MRI立ち上げシンポジウム
• 【Invited talk】Nishimoto S (2015) ヒト自然視知覚を司るマクロスコピックな大脳皮質機能構造　第120回日本解剖学会総会・第92回日本生理学大会合同大会
• 【Invited talk】Nishimoto S (2015) 自然視知覚を支える脳内表象　脳科学若手の会関西支部会セミナー
• Nishida S, Huth AG, Gallant JL, Nishimoto S. (2015) Word-order statistics explain human brain activity evoked by natural movies. The Second CiNet Conference - International Symposium on Neural Mechanisms of Vision and Cognition, Osaka, Japan.
• Amano M, Ikezoe K, Nishimoto S, Fujita I (2015) Difference between V1 and V4 of monkeys in orientation and spatial frequency maps at the single-cell resolution. The Second CiNet Conference - International Symposium on Neural Mechanisms of Vision and Cognition, Osaka, Japan.
• 【Invited talk】Nishimoto S (2015) Encoding and decoding: extending receptive field analysis to study natural vision　The Second CiNet Conference - International Symposium on Neural Mechanisms of Vision and Cognition, Osaka, Japan.
• Nishida S, Nishimoto S. A corpus-based language model explains distributed semantic representation in the human brain. (2015) 脳と心のメカニズム第15回冬のワークショップ. 北海道.
• Ikezoe K, Nishimoto S, Fujita I. (2014) Orientation maps in monkey V1 and V4 visualized at the single-neuron resolution: a 2-photon calcium imaging study. Vision, Memory, Thought: How cognition emerges from neural network
• Nishida S, Fujimoto A, Ogawa T. (2014) Neuronal correlates of strategy switching between exploration and exploitation in macaque dorsal premotor cortex. Vision, Memory, Thought: How Cognition Emerges from Neural Network. Tokyo, Japan.
• 【Invited talk】Nishimoto S (2014) 脳内表象可視化を介したヒト脳機能の定量理解　京都大学大学院医学研究科神経科学セミナー
• Lescroart MD, Nishimoto S, Gallant JL. (2014) Object silhouettes and semantic tuning in human lateral occipital cortex. Society for Neuroscience Annual Meeting 2014 823.19
• Çukur T, Nishimoto S, Huth AG, Gallant JL (2014) Visual search for action categories alters semantic representation in the human brain. Society for Neuroscience Annual Meeting 2014 156.08
• 【Invited talk】Nishimoto S (2014) 動画視聴中の脳情報解読技術について　マーケティングコミュニケーション研究セミナー2014
• 【Invited talk】Nishimoto S (2014) 神経科学と計算機科学の融合による発展を目指して　生命情報科学若手の会第6回研究会
• 【Invited talk】Nishimoto S (2014) 細胞－細胞集団－個体：定量モデル化を介して視覚系脳神経情報処理のミクロとマクロを結ぶ　第87回日本生化学会大会
• 【Invited talk】Nishimoto S (2014) 予測モデル構築を介したヒト脳内表象の理解と可視化　大阪大学免疫学フロンティア研究センター・生命機能数理モデル検討会
• Nishimoto S, Ueguchi T, Kida I, Liu G (2014) ヒト7T fMRIを用いた自然動画刺激下における高解像脳活動イメージング　第42回日本磁気共鳴医学会大会 P-2-177
• 【Invited talk】Nishimoto S (2014) 脳内イメージを可視化する -モデリングアプローチを用いたヒト脳内表象の定量理解-　山口大学医学部
• 【Invited talk】Nishimoto S (2014) モデリングアプローチを用いたヒト脳内視覚・意味表象の定量理解　YPS・若手ジョイントセミナー
• 【Invited talk】Nishimoto S (2014) 脳活動のモデル化と知覚体験の可視化　第23回日本バイオイメージング学会学術集会
• Nishimoto S (2014) スパースモデリングを用いた大脳中次視覚野における自然視覚情報処理機構の解明　新学術領域「疎性モデリング」第二回領域会議
• 【Invited talk】Nishimoto S (2014) fMRIを用いたヒト自然視覚情報処理の定量理解：表象、動態、デコーディング　埼玉大学脳末梢科学研究センターシンポジウム
• 【Invited talk】Nishimoto S (2014) モデリングアプローチを用いた自然視知覚下脳活動の定量理解　自然科学研究機構生理学研究所研究会「視知覚の現象・機能・メカニズム – 生理学的、心理物理学的、計算論的アプローチ」
• 【Invited talk】Nishimoto S (2014) 自然な知覚を支える脳情報表現の定量理解　第4回全脳アーキテクチャ勉強会
• Lescroart MD, Nishimoto S, Gallant JL. (2014) Intermediate human visual areas represent the locations of silhouette edges in natural movies. Journal of Vision 14(10):716
• 【Invited talk】Nishimoto S (2014) 脳活動を読み解く技術の最先端　金曜サイエンスサロン
• 【Invited talk】Nishimoto S (2014) Modeling Approach: a new quantitative framework for understanding brain activity. Graduate School of Medicine, Kyoto University
• 【Invited talk】Nishimoto S (2014) 脳科学が開く情報通信　イノベーション創造のための戦略会議
• 【Invited talk】Nishimoto S (2014) モデリングアプローチ：脳神経活動の定量的理解を目指す新たな枠組み　脳と心のメカニズム　第14回冬のワークショップ
• 【Invited talk】Nishimoto S (2013) 自然な知覚・認知条件下における脳機能の定量的理解とその応用 Consortium for Applied Neuroscience
• 【Invited talk】Nishimoto S (2013) Modeling and decoding brain activity evoked by natural movies. Invited talk at Brain Science Institute, RIKEN
• Ikezoe K, Nishimoto S, Takeuchi R, Fukazawa T, Saito Y, Fujita I (2013) Functional architecture for orientation and spatial frequency tuning in monkey V4 revealed by In vivo 2-photon calcium imaging of visual responses to natural movies. Society for Neuroscience 2013 annual meeting 824.20
• Bilenko NY, Huth AG, Nishimoto S, Gallant JL (2013) Functional cross-subject mapping predicts brain activity to novel natural movies and speech. Society for Neuroscience 2013 annual meeting 550.05
• Hayashi R, Nishimoto S (2013) Image reconstruction from neural activity via higher-order visual features derived from deep convolutional neural networks. Society for Neuroscience 2013 annual meeting 640.22
• 【Invited talk】Nishimoto S (2013) Modeling and decoding human brain activity. Hibikino Salon, Kitakyushu Foundation for the Advancement of Industry, Science and Technology, Waseda University
• 【Invited talk】Nishimoto S (2013) 自然刺激を用いて脳神経情報表現を探る：定量的脳機能理解への実践的試み　FBS Colloquium, Osaka University
• Hayashi R, Nishimoto S (2013) Decoding visual information in monkey IT cortex using deep neural network. Proceedings of Life Engineering Symposium 2013, pp.511-514, 2013.
• 【Invited talk】Nishimoto S (2013) Modeling brain activity under naturalistic conditions. Invited talk at Quantitative Biology Center, RIKEN
• Ikezoe K, Nishimoto S, Takeuchi R, Fukazawa T, Saito Y, Fujita I (2013) In vivo 2-photon calcium imaging of visual responses to natural movies in monkey V4. Japanese Neuroscience Society 2013 annual meeting O2-7-3-1
• Çukur T, Nishimoto S, Huth AG, Gallant JL (2013) Functional Subdomains within Human Scene-Selective Cortex. Annual Meeting of the Organization for Human Brain Mapping 2013 Poster 4032
• Bilenko N, Çukur T, Huth AG, Nishimoto S, Gallant JL (2013) Functional cross-subject mapping reveals common dimensions of visually evoked brain activity. Annual Meeting of the Organization for Human Brain Mapping 2013 Poster 4030
• Nishimoto S, Huth AG, Bilenko N, Gallant JL (2013) Human visual areas invariant to eye movements during natural vision. Vision Science Society Annual Meeting 2013 53.534
• Lescroart MD, Nishimoto S, Gallant JL (2013) Representation of object contour features in intermediate visual areas in the human brain. Vision Science Society Annual Meeting 2013 53.427