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Spike detection for calcium activity

Author

Listed:
  • Biermé Hermine

    (LMA UMR CNRS 7348, Université de Poitiers Bât. H3 - Site du Futuroscope, TSA 61125, 11 bd Marie et Pierre Curie, 86073 Poitiers Cedex 9, France)

  • Constant Camille

    (LMA UMR CNRS 7348, Université de Poitiers Bât. H3 - Site du Futuroscope, TSA 61125, 11 bd Marie et Pierre Curie, 86073 Poitiers Cedex 9, France)

  • Duittoz Anne

    (CNRS, IFCE, INRAE, Université de Tours, PRC, F-37380, Nouzilly, France)

  • Georgelin Christine

    (IDP UMR CNRS 7013, Université de Tours, Université d’Orléans, Parc de Grandmont 37200 Tours, France)

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.

Suggested Citation

  • Biermé Hermine & Constant Camille & Duittoz Anne & Georgelin Christine, 2022. "Spike detection for calcium activity," The International Journal of Biostatistics, De Gruyter, vol. 18(2), pages 627-675, November.
    • Handle: RePEc:bpj:ijbist:v:18:y:2022:i:2:p:627-675:n:16
    DOI: 10.1515/ijb-2020-0043
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