Author

Tsutomu Murata

Center for Information and Neural Networks

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Izumi OhzawaiD· 2 shared Kazufumi HosodaiD· 2 shared Kunihiko KanekoiD· 2 shared Shigeto SenoiD· 2 shared Komaki Kunishige· 1 shared Masahiko HarunoiD· 1 shared Masayo Inoue· 1 shared Misako Kimura· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Izumi OhzawaORCID

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2 papers

Recent·Most cited

Modeling Time to Visual Insight in Mooney Image Recognition with a Chaotic Recurrent Neural Network

Misako Kimura, Yuuki Matsushita, Masayo Inoue, Shigeto Seno, Tsutomu Murata, Izumi Ohzawa, Prof. Dr. Toshio Yanagida, Kunihiko Kaneko, Kazufumi Hosoda

The paper models the time to visual insight in Mooney image recognition using a chaotic recurrent neural network, reproducing human search time statistics without assuming lognormal distributions.

Cognitive Neurodynamics · Jun 5, 2026Peer-reviewedNeuroscience

The superior colliculus arbitrates whole-brain dynamics for unconscious visual insight

Tsutomu Murata, Komaki Kunishige, Shigeto Seno, Izumi Ohzawa, Kunihiko Kaneko, Toshio Yanagida, Masahiko Haruno, Kazufumi Hosoda

The paper identifies the superior colliculus as a key structure in whole-brain dynamics during sudden visual insight using fMRI data from an insight task.

bioRxiv · Apr 9, 2025 · PreprintNeuroscience