Efficient methods for sampling spike trains in networks of coupled neurons

DOI10.1214/11-AOAS467zbMath1229.92015arXiv1111.7098MaRDI QIDQ652350

Liam Paninski, Yuriy Mishchenko

Publication date: 14 December 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1111.7098

zbMATH Keywords

HMMblock-Gibbs samplingfluorescence imaging

Mathematics Subject Classification ID

Related Items (2)

Fast inference in generalized linear models via expected log-likelihoods ⋮ Consistent estimation of complete neuronal connectivity in large neuronal populations using sparse ``shotgun neuronal activity sampling

Cites Work

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• Bayesian modelling and analysis of spatio-temporal neuronal networks

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