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Spike detection for calcium activity

Abstract : We present in this paper a global methodology for the spike detection in a biological context of fluorescence recording of GnRh-neurons calcium activity. For this purpose we first propose a simple stochastic model that could mimic experimental time series by considering an autoregressive AR(1) process with a linear trend and specific innovations involving spiking times. Estimators of parameters with asymptotic normality are established and used to set up a statistical test on estimated innovations in order to detect spikes. We compare several procedures and illustrate on biological data the performance of our procedure.
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Contributor : Hermine Biermé <>
Submitted on : Friday, June 5, 2020 - 10:13:12 AM
Last modification on : Wednesday, May 19, 2021 - 10:37:06 AM


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  • HAL Id : hal-02370401, version 2


Hermine Biermé, Camille Constant, Anne Duittoz, Christine Georgelin. Spike detection for calcium activity. 2020. ⟨hal-02370401v2⟩



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