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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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Submitted on : Tuesday, October 26, 2021 - 2:03:28 PM
Last modification on : Tuesday, May 3, 2022 - 2:40:13 PM

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Hermine Biermé, Camille Constant, Anne Duittoz, Christine Georgelin. Spike detection for calcium activity. International Journal of Biostatistics, 2021, ⟨10.1515/ijb-2020-0043⟩. ⟨hal-03403996⟩



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