Author

Mayumi Echizen

Tokyo Medical and Dental University

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· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Adrian HoffmanniD· 1 shared Alex C. KwaniD· 1 shared Antonin BlotiD· 1 shared Fritjof HelmcheniD· 1 shared Kazuo KitamuraiD· 1 shared Peter RupprechtiD· 1 shared Rainer W. FriedrichiD· 1 shared Sonja B. HoferiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Adrian HoffmannORCID

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1 paper

Recent·Most cited

Database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging data

Peter Rupprecht, Stefano Carta, Adrian Hoffmann, Mayumi Echizen, Antonin Blot, Alex C. Kwan, Yang Dan, Sonja B. Hofer, Kazuo Kitamura, Fritjof Helmchen, Rainer W. Friedrich

The paper introduces a database and deep learning tool for spike inference from calcium imaging data, outperforming existing methods with an automated, parameter-free algorithm.

Nature Neuroscience · Aug 2, 2021Peer-reviewedNeuroscience