Statistical Inference for the Effect of Magnetic Brain Stimulation on a Motoneurone

DOI10.1111/1467-9876.00099zbMATH Open0915.92007OpenAlexW2133362991MaRDI QIDQ4216166

Valérie Ventura, S. J. Boniface, Anthony C. Davison

Publication date: 29 June 1999

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00099

zbMATH Keywords

likelihoodsimulationWiener processimportance samplingpoint processinverse Gaussian distributionresponse surfacelength-biased samplinginhibitory post-synaptic potentialforward recurrence timeimplicit statistical modelbackward recurrence timeexcitatory post-synaptic potentialmagnetic brain stimulation

Mathematics Subject Classification ID

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

Related Items (2)

Motor Unit Number Estimation—A Bayesian Approach ⋮ Imputation for semiparametric transformation models with biased-sampling data

Recommendations

• Unnamed Item 👍 👎
• Unnamed Item 👍 👎
• A statistical approach to the inverse problem in magnetoencephalography 👍 👎
• Statistical inference on spontaneous neuronal discharge patterns 👍 👎
• Computational Modeling of Neural Activities for Statistical Inference 👍 👎
• Inference for stochastic neuronal models 👍 👎
• Inference for stochastic neuronal models 👍 👎
• A biophysical and statistical modeling paradigm for connecting neural physiology and function 👍 👎

This page was built for publication: Statistical Inference for the Effect of Magnetic Brain Stimulation on a Motoneurone