Messages of Oscillatory Correlograms: A Spike Train Model

DOI10.1162/neco.2007.12-06-424zbMath1138.92308OpenAlexW2012475694WikidataQ51896824 ScholiaQ51896824MaRDI QIDQ5387446

Gaby Schneider

Publication date: 13 May 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2007.12-06-424

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)

Related Items (4)

Moving Sum Data Segmentation for Stochastic Processes Based on Invariance ⋮ A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays ⋮ A multiple filter test for the detection of rate changes in renewal processes with varying variance ⋮ Multi-scale detection of rate changes in spike trains with weak dependencies

Cites Work

• Uncovering the synchronization dynamics from correlated neuronal activity quantifies assembly formation
• Neural signatures: multiple coding in spiking-bursting cells
• Spatiotemporal Structure in Large Neuronal Networks Detected from Cross-Correlation
• Generalised shot noise Cox processes

This page was built for publication: Messages of Oscillatory Correlograms: A Spike Train Model