Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings

DOI10.1162/neco_a_01008zbMath1414.92178arXiv1706.02451OpenAlexW2964160609WikidataQ38640777 ScholiaQ38640777MaRDI QIDQ5380838

Giri Krishnan, Maxim Bazhenov, Terrence J. Sejnowski, Anup Das, Tiger W. Lin

Publication date: 6 June 2019

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

Full work available at URL: https://arxiv.org/abs/1706.02451

zbMATH Keywords

sparse connectivitydifferential covarianceneural intracellular voltage recordings

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Related Items (2)

Inference of synaptic connectivity and external variability in neural microcircuits ⋮ Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI

Uses Software

• glasso

Cites Work

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