Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions
type: Item
instance of: scholarly article
title: Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions
zbMATH Open document ID: 1382.92092
author: Dong Song
author: Haonan Wang
author: Catherine Y. Tu
author: Vasilis Z. Marmarelis
author: Robert E. Hampson
author: Sam A. Deadwyler
author: Theodore W. Berger
published in: Journal of Computational Neuroscience
publication date: 2018-03-13T00:00:00Z
full work available at URL: pmc3805829
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 92B15
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6849308
zbMATH Keywords: functional connectivity
zbMATH Keywords: generalized linear model
zbMATH Keywords: sparsity
zbMATH Keywords: penalized likelihood
zbMATH Keywords: basis function
zbMATH Keywords: spike trains
zbMATH Keywords: temporal coding
describes a project that uses: NEURON
MaRDI profile type: Publication
OpenAlex ID: W2079893016
Wikidata QID: Q37249035
cites work: The time-rescaling theorem and its application to neural spike train data analysis
cites work: On calculating with B-splines
cites work: Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
cites work: Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach
cites work: A Statistical View of Some Chemometrics Regression Tools
cites work: Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking
cites work: Semiparametric methods for evaluating risk prediction markers in case-control studies
cites work: A spike-train probability model
cites work: Q3998435
cites work: Orthogonal functionals of the Poisson process
cites work: Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity
cites work: Estimation of Entropy and Mutual Information
cites work: Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
cites work: Q5134628
cites work: Q3592409
cites work: Estimating the dimension of a model
cites work: Q4864293
cites work: Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
cites work: Functional model selection for sparse binary time series with multiple inputs
cites work: Q5134873
cites work: Model Selection and Estimation in Regression with Grouped Variables
cites work: Q5134850
DOI: 10.1007/S10827-013-0455-7
DBLP publication ID: journals/jcns/SongWTMHDB13
description: scientific article; zbMATH DE number 6849308