Author

Arata Shirakami

Kyoto University

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

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:electronic health records· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Masanori ShimonoiD· 3 shared Kouki Matsuda· 2 shared Ryota Nakajima· 2 shared Eita NakamuraiD· 1 shared Hayato Tsumura· 1 shared Takeshi HaseiD· 1 shared Tatsuya AkutsuiD· 1 shared Yuki YamaguchiiD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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3 shared papersNeuroscience

Masanori ShimonoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Neural network embedding of functional microconnectome.

Arata Shirakami, Takeshi Hase, Yuki Yamaguchi, Masanori Shimono

This paper introduces a neural network embedding method to compress and interpret functional connectivities in mouse brain data, showing improved interpretability with combined automated and metric-based analysis.

Network Neuroscience · Nov 20, 2024Peer-reviewedNeuroscience

Whole brain evaluation of cortical micro-connectomes.

Kouki Matsuda, Arata Shirakami, Ryota Nakajima, Tatsuya Akutsu, Masanori Shimono

This study evaluates microconnectomes across 16 cortical regions, finding unique characteristics in the frontal group that may explain its role in generating global brain activity patterns.

eNeuro · Oct 1, 2023Peer-reviewedNeuroscience

Deep neural generation of neuronal spikes.

Ryota Nakajima, Arata Shirakami, Hayato Tsumura, Kouki Matsuda, Eita Nakamura, Masanori Shimono

This study uses a multi-layer LSTM model to generate neuronal spike activity between disconnected brain regions, showing similar accuracy to within-region generation and revealing associations with structural connectivity and distance.

bioRxiv · Mar 5, 2023 · PreprintNeuroscience