Detecting cell assemblies by NMF-based clustering from calcium imaging data

DOI10.1016/j.neunet.2022.01.023zbMath1525.92042OpenAlexW4210917003MaRDI QIDQ6072498

Shotaro Akaho, Takehiro Miyazaki, Toshimitsu Aritake, Mizuo Nagayama, Noboru Murata, Hideitsu Hino, Takeshi Kanda, Masashi Yanagisawa

Publication date: 13 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2022.01.023

zbMATH Keywords

NMFclusteringcalcium imaging

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Unnamed Item
• Bagging predictors
• A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data
• Cluster ensembles: a survey of approaches with recent extensions and applications
• Model Selection and Model Averaging
• NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization
• Collective dynamics of ‘small-world’ networks
• Learning the parts of objects by non-negative matrix factorization

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