Neuroscience Laboratories

Perceptual and Cognitive Neuroscience Laboratory

Prof. NISHIMOTO Shinji Prof. NISHIMOTO Shinji


Natural perception, Cognition, Brain Representation, Systems Neuroscience

Quantitative understanding of the human brain

We aim to understand the neural basis underlying diverse perceptual and cognitive functions in the human brain. More specifically, our research focuses on understanding neural processing and representation by building predictive models of brain activity evoked under natural perceptual and cognitive conditions. Using such models, we also aim to develop quantitative bases for decoding brain activity as a medium for communications.

Schematics of our approach. We record brain activity evoked by natural perceptual and cognitive experiences and build predictive models. By analyzing the models, we aim at understanding information processing and representation in the brain.


Shinji Nishimoto (Professor) nishimoto.shinji.fbs[at]
Kota Sasaki (Specially Appointed Associate Professor) sasaki.kota.fbs[at]
Yu Takagi (Assistant Professor) takagi.yuu.fbs[at]
Tomoyuki Namima (Assistant Professor) namima.fbs[at]
Rieko Kubo (Researcher)  
Masahiro Yamashita (Researcher)  
Naoto Ichikawa (Technical Staff)  
Akiko Yamamoto (Technical Staff)  

You could probably reach more information of individual researchers by Research Map and researcher's search of Osaka-U.

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What is your hot research topic?
Recent development in machine learning techniques, including deep learning and natural language processing, allow us to build more accurate predictive models of brain activity. Using such technologies, we aim to acquire new quantitative knowledge and interpretations on information processing and representation in the brain.
What kind of background do your lab members have?
Our research members (FBS/NICT) have diverse backgrounds, including biophysics, neurophysiology, computer science, psychology, and art.
Do you collaborate with other institutions and universities?
We are collaborating with NICT CiNet (close relation with Osaka University CiNet), University of Tokyo (JST ERATO/Mirai Program), and other research institutes.

Research Highlights

Publications (Research Articles, Reviews, Books)


Matsumoto Y, Nishida S, Hayashi R, Son S, Murakami A, Yoshikawa N, Ito H, Oishi N, Masuda N, Murai T, Friston K, Nishimoto S, Takahashi H.

Disorganization of Semantic Brain Networks in Schizophrenia Revealed by fMRI

Schizophrenia Bulletin sbac157  2022 PMID:36542452 DOI:10.1093/schbul/sbac157

Nakai T, Nishimoto S.

Representations and decodability of diverse cognitive functions are preserved across the human cortex, cerebellum, and subcortex

Communications Biology 5(1):1245  2022 PMID:36376490 DOI:10.1038/s42003-022-04221-y

Chuyin Z, Koh ZH, Gallagher R, Nishimoto S, Tsuchiya N.

What can we experience and report on a rapidly presented image? Intersubjective measures of specificity of freely reported contents of consciousness

F1000Research 11:69  2022 PMID:36176545 DOI:10.12688/f1000research.75364.2

Klein-Flugge MC, Jensen DEA, Takagi Y, Priestley L, Verhagen L, Smith SM, Rushworth MFS.

Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans

Nature Human Behaviour   2022 PMID:36138220 DOI:10.1038/s41562-022-01434-3

Cohen D, Nakai T, Nishimoto S.

Brain networks are decoupled from external stimuli during internal cognition

Neuroimage 256:119230  2022 PMID:35460919 DOI:10.1016/j.neuroimage.2022.119230

Fukuma R, Yanagisawa T, Nishimoto S, Sugano H, Tamura K, Yamamoto S, Iimura Y, Fujita Y, Oshino S, Tani N, Koide-Majima N, Kamitani Y, Kishima H.

Voluntary control of semantic neural representations by imagery with conflicting visual stimulation

Communications Biology 5(1):214  2022 PMID:35304588 DOI:10.1038/s42003-022-03137-x

Hatanaka G, Inagaki M, Takeuchi RF, Nishimoto S, Ikezoe K, Fujita I.

Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4

Brain Structure and Function 227(4):1385-1403  2022 PMID:35286478 DOI:10.1007/s00429-022-02468-z

Nakai T, Koide-Majima N, Nishimoto S.

Music genre neuroimaging dataset

Data in Brief 40:107675  2022 PMID:34917714 DOI:10.1016/j.dib.2021.107675


Konno D, Nishimoto S, Suzuki T, Ikegaya Y, Matsumoto N.

Multiple states in ongoing neural activity in the rat visual cortex.

PLoS One 16(8):e0256791  2021 PMID:34437630 DOI:10.1371/journal.pone.0256791

Shinkuma R, Nishida S, Maeda N, Kado M, Nishimoto S.

Reduction of Information Collection Cost for Inferring Brain Model Relations From Profile Information Using Machine Learning

IEEE Transactions on Systems, Man, and Cybernetics: Systems   2021 DOI:10.1109/TSMC.2021.3074069

Nishida S, Blanc A, Maeda N, Kado M, Nishimoto S.

Behavioral correlates of cortical semantic representations modeled by word vectors.

PLoS Computational Biology 17(6):e1009138  2021 PMID:34161315 DOI:10.1371/journal.pcbi.1009138

Nakai T, Yamaguchi HQ, Nishimoto S.

Convergence of Modality Invariance and Attention Selectivity in the Cortical Semantic Circuit.

Cerebral Cortex bhab125  2021 PMID:33999141 DOI:10.1093/cercor/bhab125

Ikutani Y, Kubo T, Nishida S, Hata H, Matsumoto K, Ikeda K, Nishimoto S.

Expert Programmers Have Fine-Tuned Cortical Representations of Source Code.

eNeuro 8(1):ENEURO.0405-20.2020  2021 PMID:33318072 DOI:10.1523/ENEURO.0405-20.2020

Nakai T, Koide-Majima N, Nishimoto S.

Correspondence of categorical and feature-based representations of music in the human brain.

Brain and Behavior 11(1):e01936  2021 PMID:33164348 DOI:10.1002/brb3.1936


Koide-Majima N, Nakai T, Nishimoto S.

Distinct dimensions of emotion in the human brain and their representation on the cortical surface.

Neuroimage 222:117258  2020 PMID:32798681 DOI:10.1016/j.neuroimage.2020.117258

Nishida S, Nakano Y, Blanc A, Maeda N, Kado M, Nishimoto S.

Brain-Mediated Transfer Learning of Convolutional Neural Networks.

Proceedings of the AAAI Conference on Artificial Intelligence 34:5281-5288  2020 DOI:10.1609/aaai.v34i04.5974

Nakai T, Nishimoto S.

Quantitative models reveal the organization of diverse cognitive functions in the brain.

Nature Communications 11(1):1142  2020 PMID:32123178 DOI:10.1038/s41467-020-14913-w

Our ideal candidate (as a graduate student)

We are looking for a highly motivated person to work on our research topics as our lab members.


Perceptual and Cognitive Neuroscience Laboratory, Graduate School of Frontier Biosciences, Osaka University,
1-4 Yamadaoka, Suita, Osaka 565-0871 Japan.
TEL: +81-6-6879-4434
E-mail: nishimoto.shinji.fbs[at] (Prof. NISHIMOTO Shinji)

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