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Whole‐volume clustering of time series data from zebrafish brain calcium images via mixture modeling

https://doi.org/10.1002/sam.11366
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0470013192.bsa239openalex-snapshot
Functional Data Analysis
inferredcites →https://doi.org/10.1002/0471721182openalex-snapshot
Finite Mixture Models
inferredcites →https://doi.org/10.1002/0471725293openalex-snapshot
Discriminant Analysis and Statistical Pattern Recognition
inferredcites →https://doi.org/10.1002/9780470226797openalex-snapshot
A Matrix Handbook for Statisticians
inferredcites →https://doi.org/10.1007/978-0-387-74978-5openalex-snapshot
Introduction to Empirical Processes and Semiparametric Inference
inferredcites →https://doi.org/10.1007/978-0-387-98185-7openalex-snapshot
Functional Data Analysis with R and MATLAB
inferredcites →https://doi.org/10.1007/978-1-4614-6868-4openalex-snapshot
Seamless R and C++ Integration with Rcpp
inferredcites →https://doi.org/10.1007/978-3-540-48503-2openalex-snapshot
Concentration Inequalities and Model Selection
inferredcites →https://doi.org/10.1007/978-3-642-54265-7openalex-snapshot
Set-valued Optimization: An Introduction with Applications
inferredcites →https://doi.org/10.1007/bf01908075openalex-snapshot
Comparing partitions
inferredcites →https://doi.org/10.1007/s00429-013-0667-7openalex-snapshot
Enhanced characterization of the zebrafish brain as revealed by super-resolution track-density imaging
inferredcites →https://doi.org/10.1007/s00440-006-0011-8openalex-snapshot
Minimal Penalties for Gaussian Model Selection
inferredcites →https://doi.org/10.1007/s11036-013-0489-0openalex-snapshot
Big Data: A Survey
inferredcites →https://doi.org/10.1007/s11222-011-9236-1openalex-snapshot
Slope heuristics: overview and implementation
inferredcites →https://doi.org/10.1016/0001-8708(79)90033-1openalex-snapshot
A practical guide to splines
inferredcites →https://doi.org/10.1016/0167-7152(89)90032-1openalex-snapshot
A caution on mixing conditions for random fields
inferredcites →https://doi.org/10.1016/j.csda.2012.12.007openalex-snapshot
Mixture models for clustering multilevel growth trajectories
inferredcites →https://doi.org/10.1016/j.csda.2014.01.011openalex-snapshot
Mixtures of spatial spline regressions for clustering and classification
inferredcites →https://doi.org/10.1016/j.cub.2016.01.041openalex-snapshot
Functional Profiles of Visual-, Auditory-, and Water Flow-Responsive Neurons in the Zebrafish Tectum
inferredcites →https://doi.org/10.1016/j.jeconom.2009.02.009openalex-snapshot
Central limit theorems and uniform laws of large numbers for arrays of random fields
inferredcites →https://doi.org/10.1016/j.neuron.2014.04.018openalex-snapshot
Descending Control of Swim Posture by a Midbrain Nucleus in Zebrafish
inferredcites →https://doi.org/10.1016/j.patcog.2003.12.018openalex-snapshot
Time series clustering with ARMA mixtures
inferredcites →https://doi.org/10.1016/j.patcog.2005.01.025openalex-snapshot
Clustering of time series data—a survey
inferredcites →https://doi.org/10.1016/s0893-6080(99)00066-0openalex-snapshot
On the identifiability of mixtures-of-experts
inferredcites →https://doi.org/10.1016/s0959-4388(96)80122-xopenalex-snapshot
Imaging calcium dynamics in dendritic spines
inferredcites →https://doi.org/10.1017/s0266466600012780openalex-snapshot
Generic Uniform Convergence
inferredcites →https://doi.org/10.1038/mp.2014.128openalex-snapshot
Molecular psychiatry of zebrafish
inferredcites →https://doi.org/10.1038/nature12354openalex-snapshot
Ultrasensitive fluorescent proteins for imaging neuronal activity
inferredcites →https://doi.org/10.1038/nmeth.2434openalex-snapshot
Whole-brain functional imaging at cellular resolution using light-sheet microscopy
inferredcites →https://doi.org/10.1038/nmeth.3040openalex-snapshot
Light-sheet functional imaging in fictively behaving zebrafish
inferredcites →https://doi.org/10.1038/nphoton.2014.323openalex-snapshot
Swept confocally-aligned planar excitation (SCAPE) microscopy for high-speed volumetric imaging of behaving organisms
inferredcites →https://doi.org/10.1038/nrn2093openalex-snapshot
Neuronal calcium sensor proteins: generating diversity in neuronal Ca2+ signalling
inferredcites →https://doi.org/10.1080/00401706.1987.10488304openalex-snapshot
Numerical Recipes: The Art of Scientific Computing
inferredcites →https://doi.org/10.1093/bioinformatics/btl165openalex-snapshot
A Mixture model with random-effects components for clustering correlated gene-expression profiles
inferredcites →https://doi.org/10.1109/tase.2013.2256349openalex-snapshot
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression
inferredcites →https://doi.org/10.1109/tmi.2014.2322369openalex-snapshot
False Discovery Rate Control in Magnetic Resonance Imaging Studies via Markov Random Fields
inferredcites →https://doi.org/10.1111/1467-9469.00350openalex-snapshot
Unsupervised Curve Clustering using B‐Splines
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/stan.12093openalex-snapshot
Spatial clustering of time series via mixture of autoregressions models and Markov random fields
inferredcites →https://doi.org/10.1126/stke.2192004pl5openalex-snapshot
Imaging Calcium Concentration Dynamics in Small Neuronal Compartments
inferredcites →https://doi.org/10.1145/2379776.2379788openalex-snapshot
Time-series data mining
inferredcites →https://doi.org/10.1145/312129.312198openalex-snapshot
Trajectory clustering with mixtures of regression models
inferredcites →https://doi.org/10.1162/neco_a_00938openalex-snapshot
Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data
inferredcites →https://doi.org/10.1186/1471-2105-13-300openalex-snapshot
Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects
inferredcites →https://doi.org/10.1191/1471082x05st096oaopenalex-snapshot
Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments
inferredcites →https://doi.org/10.1198/016214502760301200openalex-snapshot
Asymptotic Theory for Econometricians
inferredcites →https://doi.org/10.1198/016214503000189openalex-snapshot
Clustering for Sparsely Sampled Functional Data
inferredcites →https://doi.org/10.1214/07-aos515openalex-snapshot
A general trimming approach to robust cluster Analysis
inferredcites →https://doi.org/10.1214/08-aoas172openalex-snapshot
Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions
inferredcites →https://doi.org/10.1214/154957805100000104openalex-snapshot
Basic Properties of Strong Mixing Conditions. A Survey and Some Open Questions
inferredcites →https://doi.org/10.1214/aos/1031833664openalex-snapshot
Trimmed $k$-means: an attempt to robustify quantizers
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.18637/jss.v044.i09openalex-snapshot
Temporal and Spatial Independent Component Analysis for fMRI Data Sets Embedded in theAnalyzeFMRIRPackage
inferredcites →https://doi.org/10.18637/jss.v047.i12openalex-snapshot
tclust: AnRPackage for a Trimming Approach to Cluster Analysis
inferredcites →https://doi.org/10.2307/1391913openalex-snapshot
Advanced Econometrics
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fncir.2015.00078openalex-snapshot
A 3D Searchable Database of Transgenic Zebrafish Gal4 and Cre Lines for Functional Neuroanatomy Studies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/0471721182openalex-snapshot
Finite Mixture Models
inferred← citeshttps://doi.org/10.1002/sam.11436openalex-snapshot
Forecasting basketball players' performance using sparse functional data*
inferred← citeshttps://doi.org/10.1002/widm.1298openalex-snapshot
Model‐based clustering and classification of functional data
inferred← citeshttps://doi.org/10.1007/978-1-0716-1107-4_5openalex-snapshot
Role of Metabotropic Glutamate Receptors (mGluRs) in the Regulation of Cellular Calcium Signaling: Theory, Protocols, and Data Analysis
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104646openalex-snapshot
Functional data clustering and outlier identification via subgroup analysis with minimum spanning tree
inferred← citeshttps://doi.org/10.1109/ner49283.2021.9441102openalex-snapshot
Gaussian Mixture Modeling of Single-Neuron Responses Obtained from Confocal-Calcium-Imaging of Dissociated Rat Hippocampal Neurons
inferred← citeshttps://doi.org/10.1111/anzs.12426openalex-snapshot
PanIC: Consistent information criteria for general model selection problems
inferred← citeshttps://doi.org/10.1145/3581789openalex-snapshot
Review of Clustering Methods for Functional Data
inferred← citeshttps://doi.org/10.7554/elife.98489openalex-snapshot
The recurrent temporal restricted Boltzmann machine captures neural assembly dynamics in whole-brain activity
inferred← citeshttps://doi.org/10.7554/elife.98489.1openalex-snapshot
The Recurrent Temporal Restricted Boltzmann Machine Captures Neural Assembly Dynamics in Whole-brain Activity
inferred← citeshttps://doi.org/10.7554/elife.98489.1.sa0openalex-snapshot
Reviewer #3 (Public Review): The Recurrent Temporal Restricted Boltzmann Machine Captures Neural Assembly Dynamics in Whole-brain Activity
inferred← citeshttps://doi.org/10.7554/elife.98489.1.sa1openalex-snapshot
Reviewer #2 (Public Review): The Recurrent Temporal Restricted Boltzmann Machine Captures Neural Assembly Dynamics in Whole-brain Activity
inferred← citeshttps://doi.org/10.7554/elife.98489.1.sa2openalex-snapshot
Reviewer #1 (Public Review): The Recurrent Temporal Restricted Boltzmann Machine Captures Neural Assembly Dynamics in Whole-brain Activity
inferred← citeshttps://doi.org/10.7554/elife.98489.1.sa3openalex-snapshot
eLife Assessment: The Recurrent Temporal Restricted Boltzmann Machine Captures Neural Assembly Dynamics in Whole-brain Activity
inferred← citeshttps://doi.org/10.7554/elife.98489.2openalex-snapshot
The Recurrent Temporal Restricted Boltzmann Machine Captures Neural Assembly Dynamics in Whole-Brain Activity
inferred← citeshttps://doi.org/10.7554/elife.98489.3openalex-snapshot
The recurrent temporal restricted Boltzmann machine captures neural assembly dynamics in whole-brain activity
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