Scalpel: extracting neurons from calcium imaging data

DOI10.1214/18-AOAS1159zbMath1412.62171arXiv1703.06946WikidataQ59808087 ScholiaQ59808087MaRDI QIDQ1728662

Ashley Petersen, Daniela M. Witten, Noah Robin Simon

Publication date: 25 February 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.06946

zbMATH Keywords

clusteringsegmentationcalcium imagingdictionary learningcell sortingsparse group Lassoneuron identification

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Nonparametric matrix response regression with application to brain imaging data analysis ⋮ Scalpel: extracting neurons from calcium imaging data ⋮ scalpel

Uses Software

• R
• CRAN
• ElemStatLearn
• protoclust
• LZeroSpikeInference

Cites Work

• Unnamed Item
• Hierarchical Clustering With Prototypes via Minimax Linkage
• Exact Spike Train Inference Via $\ell_0$ Optimization
• A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data
• Scalpel: extracting neurons from calcium imaging data
• Model Selection and Estimation in Regression with Grouped Variables

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