<p>In (A-C) a single parameter is varied (two values are shown) and the coupling between model neurons at different distances was measured for 100 generated networks for comparison with the coupling between pairs of dINs measured experimentally (shown by dots in each graph; [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004240#pcbi.1004240.ref029" target="_blank">29</a>]). The notched grey bars show the median and 25% to 75% quartiles of the model coupling coefficient at each distance. The lines represent the 5% to 95% percentiles. Starting parameters (see text): R<sub>i</sub> = 80 Ωcm, R<sub>GJ</sub> = 600 MΩ, min-dist = 20 μm, max-dist = 70 μm, g<sub>lk</sub> = 0.25 mS cm<sup>-2</sup> and axon diam = 0.4 μm. ...
<p>Illustrated here are results for a large IF network ( excitatory and inhibitory neurons) with ra...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>: Different morphologies were considered, from the most complex one (model neuron 1) to the simpl...
<p>At any given time, the population activity pattern is defined by neurons which either spike (<i>s...
We quantify relative changes in interaction strength between effective () and true () interactions b...
<p>A: Membrane potential distributions of GIF and r-matched IF neurons in response to the background...
<p>For coupling intensity (a) <i>D</i> = 0.4, (b) <i>D</i> = 0.5, (c) <i>D</i> = 0.6, (d) <i>D</i> =...
<p><b>A:</b> Correlation coefficient between the amount of mean synaptic change (Δm) and the amount ...
<p>Distributions of <i>r<sub>sc</sub></i> (ordinate) as a function of distance between neurons (absc...
<p>For coupling intensity (a) <i>D</i> = 0.4, (b) <i>D</i> = 0.5, (c) <i>D</i> = 0.6, (d) <i>D</i> =...
<p><b>A-B</b>: The inter-spike-interval CVs from simulated spike trains versus the neuron’s in degre...
<p>Comparison of the solution of (24) (solid) to the contribution of the leading order in (dashed)....
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
<p><b>A</b> Schematic presentation of network connectivity, for Z = 4 (f...
<p><b>A</b>: Spike-train variances (black) and (gray) of excitatory and inhibitory neurons. <b>B</...
<p>Illustrated here are results for a large IF network ( excitatory and inhibitory neurons) with ra...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>: Different morphologies were considered, from the most complex one (model neuron 1) to the simpl...
<p>At any given time, the population activity pattern is defined by neurons which either spike (<i>s...
We quantify relative changes in interaction strength between effective () and true () interactions b...
<p>A: Membrane potential distributions of GIF and r-matched IF neurons in response to the background...
<p>For coupling intensity (a) <i>D</i> = 0.4, (b) <i>D</i> = 0.5, (c) <i>D</i> = 0.6, (d) <i>D</i> =...
<p><b>A:</b> Correlation coefficient between the amount of mean synaptic change (Δm) and the amount ...
<p>Distributions of <i>r<sub>sc</sub></i> (ordinate) as a function of distance between neurons (absc...
<p>For coupling intensity (a) <i>D</i> = 0.4, (b) <i>D</i> = 0.5, (c) <i>D</i> = 0.6, (d) <i>D</i> =...
<p><b>A-B</b>: The inter-spike-interval CVs from simulated spike trains versus the neuron’s in degre...
<p>Comparison of the solution of (24) (solid) to the contribution of the leading order in (dashed)....
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
<p><b>A</b> Schematic presentation of network connectivity, for Z = 4 (f...
<p><b>A</b>: Spike-train variances (black) and (gray) of excitatory and inhibitory neurons. <b>B</...
<p>Illustrated here are results for a large IF network ( excitatory and inhibitory neurons) with ra...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>: Different morphologies were considered, from the most complex one (model neuron 1) to the simpl...