Skip to Main content Skip to Navigation
New interface
Conference papers

Statistical Coupling Between time Point-Processes

Abstract : The observation of physical phenomena often goes through the recording of discrete time series of events, that can be represented with marked point processes. The robust estimation of the correlation between two point processes can, therefore, unveil physical mechanisms underlying the observed phenomena. However, the robust estimation of correlation between two, or more, point-processes is hindered by the signal noise (leading to false and missing point detections), the important density of points, and possible time-shift between coupled points. We propose a statistical framework that uses hypothesis testing to estimate coupling between time pointprocesses. Using simulations, we show that our framework accurately estimates the coupling between two time point-processes even for noisy signal (with false point detections), for high density of points and in the presence of a time shift between coupled points. By applying our statistical framework to the recordings of neuron population activity in mouse visual cortex, we measure the functional coupling between individual neurons, and cluster neurons into functional ensembles.
Document type :
Conference papers
Complete list of metadata

https://hal-pasteur.archives-ouvertes.fr/pasteur-03699883
Contributor : Thibault Lagache Connect in order to contact the contributor
Submitted on : Monday, June 20, 2022 - 3:50:42 PM
Last modification on : Friday, August 5, 2022 - 12:02:57 PM
Long-term archiving on: : Thursday, September 22, 2022 - 11:08:57 AM

File

Final_version_ISBI2022.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

Identifiers

Collections

Citation

Samuel Kubler, Jean-Christophe Olivo-Marin, Thibault Lagache. Statistical Coupling Between time Point-Processes. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), Mar 2022, Kolkata, France. pp.1-4, ⟨10.1109/ISBI52829.2022.9761557⟩. ⟨pasteur-03699883⟩

Share

Metrics

Record views

17

Files downloads

13