Adjusted regularization of cortical covariance

DOI10.1007/s10827-018-0692-xzbMath1402.92029OpenAlexW2890992780WikidataQ64122342 ScholiaQ64122342MaRDI QIDQ1628355

Valérie Ventura, Robert E. Kass, Matthew A. Smith, Giuseppe Vinci

Publication date: 4 December 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6195462

zbMATH Keywords

Bayesian inferencefalse discovery rateGaussian graphical modelfunctional connectivityhigh-dimensional estimationpenalized maximum likelihood estimationgraphical lassomacaque visual cortex

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (2)

Adjusted regularization in latent graphical models: application to multiple-neuron spike count data ⋮ Inference of synaptic connectivity and external variability in neural microcircuits

Uses Software

• R
• MASS (R)
• glasso
• BayesDA
• PMTK
• dobson

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