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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https://hal.archives-ouvertes.fr/hal-02370401
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Submitted on : Tuesday, November 19, 2019 - 2:13:07 PM
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Hermine Biermé, Camille Constant, Anne Duittoz, Christine Georgelin. SPIKE DETECTION FOR CALCIUM ACTIVITY. 2019. ⟨hal-02370401⟩

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