Estimating the number of neurons in multi-neuronal spike trains

DOI10.1214/10-AOAS371zbMath1220.62140arXiv1104.2717OpenAlexW2062974934MaRDI QIDQ542464

Mengxin Li, Wei-Liem Loh

Publication date: 10 June 2011

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

Full work available at URL: https://arxiv.org/abs/1104.2717

zbMATH Keywords

eigenvalueconsistencymixture distributionspike sortingisolated spikemethod-of-momentsoverlapping spiketrigonometric moment matrix

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Neural biology (92C20)

Related Items (1)

Special section on statistics in neuroscience

Cites Work

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• A general trimming approach to robust cluster analysis
• Spectral analysis of large dimensional random matrices
• Some statistical methods for random process data from seismology and neurophysiology
• On the determinants of moment matrices
• Moment matrices: Applications in mixtures
• The estimation of the order of a mixture model
• A robust method for cluster analysis
• A review of methods for spike sorting: the detection and classification of neural action potentials
• Bayesian Modeling and Classification of Neural Signals

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