Int J Biostat. 2021 Sep 30. doi: 10.1515/ijb-2020-0043. Online ahead of print.
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.
PMID:34598374 | DOI:10.1515/ijb-2020-0043
