<p>(A) Degree distribution of the finite-size Erdös-Rényi networks used in Figs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004458#pcbi.1004458.g002" target="_blank">2</a>–<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004458#pcbi.1004458.g009" target="_blank">9</a>, showing each neuron’s number of incoming synapses (in-degree) and outgoing synapses (out-degree). (B) Correlated, truncated power degree distributions. From left to right, the frequency of chain motifs increases. The degree distributions at either end of the “Chain Frequency” axis correspond to highly anti-correlated (left) and highly correlated (right) in- and out-degrees, with correlation coefficient <i>ρ</i> = ±.9 ...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>A reference network of 10,000 inhibitory leaky integrate-and-fire neurons is scaled up to 50,000 ...
<p>Homogeneous and heterogeneous recurrent networks made of Integrate-and-Fire model neurons were n...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>The figure shows dynamics and corresponding effective connectivities for fully symmetric structur...
Biological neuronal networks constitute a special class of dynamical systems, as they are formed by ...
<p>This figure shows (for the rewired ring lattice with and ) histograms of the number of positive ...
<p>The functions of the CC model are set as follows: <i>N</i>(<i>t</i>) = [e<sup>0.1<i>t</i></sup>],...
Neuronal network models often assume a fixed probability of connectionbetween neurons. This assump...
<div><p>(A) Maximization of functional motif number (<i>N</i> = 30, <i>K</i> = 311). Each maximizati...
<p>The figure shows dynamics and corresponding effective connectivities for fully symmetric structur...
<p>(<b>A</b>) Mean E firing rate of the network as a function of mean input <i>η</i> and signal ampl...
International audienceVarious methods have been recently employed to characterise the structure of b...
<p>As in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084626#pone-0084626-...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>A reference network of 10,000 inhibitory leaky integrate-and-fire neurons is scaled up to 50,000 ...
<p>Homogeneous and heterogeneous recurrent networks made of Integrate-and-Fire model neurons were n...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>The figure shows dynamics and corresponding effective connectivities for fully symmetric structur...
Biological neuronal networks constitute a special class of dynamical systems, as they are formed by ...
<p>This figure shows (for the rewired ring lattice with and ) histograms of the number of positive ...
<p>The functions of the CC model are set as follows: <i>N</i>(<i>t</i>) = [e<sup>0.1<i>t</i></sup>],...
Neuronal network models often assume a fixed probability of connectionbetween neurons. This assump...
<div><p>(A) Maximization of functional motif number (<i>N</i> = 30, <i>K</i> = 311). Each maximizati...
<p>The figure shows dynamics and corresponding effective connectivities for fully symmetric structur...
<p>(<b>A</b>) Mean E firing rate of the network as a function of mean input <i>η</i> and signal ampl...
International audienceVarious methods have been recently employed to characterise the structure of b...
<p>As in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084626#pone-0084626-...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>A reference network of 10,000 inhibitory leaky integrate-and-fire neurons is scaled up to 50,000 ...