<p>Reconstructing interaction networks from correlation thresholding may or may not yield correct connectivity pattern. (a)-(d) Successful reconstruction of a network (<i>N</i> = 15, average degree , <i>γ</i> = 1, <i>α</i> = 2, <i>A</i><sub><i>ij</i></sub> ∈ {0, 1} for absent and present interactions, resp.). (e)-(h) Reconstruction of statistically similar network is unsuccessful for any threshold. (a,e) Adjacency matrix of original network (black indicated directed interaction, gray undirected network aimed for). (b,f) Dynamics of the units yielding (c,g) correlation matrices. Thresholding yields (d) correct or (h) incorrect reconstruction, depending on the exact topology.</p
<p>The networks are depicted at different values of threshold <i>θ</i>. A) 0.005; B) 0.01; C) 0.02; ...
<p>After computing the inter-regional correlations (left), three thresholds were applied (p < 0.05, ...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
<p>(a) Correlation thresholding yields different estimators (shaded areas with graphs as insets) for...
Across scientific disciplines, thresholded pairwise measures of statistical dependence between time ...
Across scientific disciplines, thresholded pairwise measures of statistical dependence between time ...
The identification of the organization principles on the basis of the brain connectivity can be perf...
The identification of the organization principles on the basis of the brain connectivity can be perf...
The identification of the organization principles at the basis of the brain connectivity can be perf...
<p><b>A</b> ROC curve for a network reconstruction with generalized TE Markov order , with fluoresce...
<p><b>A</b> Example of TE reconstructed connectivity in a subset of 49 neurons (identified by black ...
<p>(Unspecified parameters as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.po...
Graph theory is a powerful mathematical tool recently introduced in neuroscience field for quantitat...
<p>The values of AUROC of reconstructing the maximum degree node of two types of scale-free networks...
<p><b>A</b> ROC curve for a network reconstruction with generalized TE of Markov order , and with fl...
<p>The networks are depicted at different values of threshold <i>θ</i>. A) 0.005; B) 0.01; C) 0.02; ...
<p>After computing the inter-regional correlations (left), three thresholds were applied (p < 0.05, ...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
<p>(a) Correlation thresholding yields different estimators (shaded areas with graphs as insets) for...
Across scientific disciplines, thresholded pairwise measures of statistical dependence between time ...
Across scientific disciplines, thresholded pairwise measures of statistical dependence between time ...
The identification of the organization principles on the basis of the brain connectivity can be perf...
The identification of the organization principles on the basis of the brain connectivity can be perf...
The identification of the organization principles at the basis of the brain connectivity can be perf...
<p><b>A</b> ROC curve for a network reconstruction with generalized TE Markov order , with fluoresce...
<p><b>A</b> Example of TE reconstructed connectivity in a subset of 49 neurons (identified by black ...
<p>(Unspecified parameters as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.po...
Graph theory is a powerful mathematical tool recently introduced in neuroscience field for quantitat...
<p>The values of AUROC of reconstructing the maximum degree node of two types of scale-free networks...
<p><b>A</b> ROC curve for a network reconstruction with generalized TE of Markov order , and with fl...
<p>The networks are depicted at different values of threshold <i>θ</i>. A) 0.005; B) 0.01; C) 0.02; ...
<p>After computing the inter-regional correlations (left), three thresholds were applied (p < 0.05, ...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...