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- W4290658093 abstract "Calcium is a ubiquitous messenger in neural signaling events. An increasing number of techniques are enabling visualization of neurological activity in animal models via luminescent proteins that bind to calcium ions. These techniques generate large volumes of spatially correlated time series. A model-based functional data analysis methodology via Gaussian mixtures is suggested for the clustering of data from such visualizations is proposed. The methodology is theoretically justified and a computationally efficient approach to estimation is suggested. An example analysis of a zebrafish imaging experiment is presented." @default.
- W4290658093 created "2022-08-08" @default.
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- W4290658093 date "2016-11-05" @default.
- W4290658093 modified "2023-09-24" @default.
- W4290658093 title "Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling" @default.
- W4290658093 doi "https://doi.org/10.48550/arxiv.1611.01602" @default.
- W4290658093 hasPublicationYear "2016" @default.
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