<p>(A) The bifurcation diagram of Eq. (16) for the mean field . (B) Activity distribution in the stationary pattern in the ER network of size and mean degree at is compared with the activator levels predicted by the mean-field theory for . Blue crosses show the simulation data. Black and red curves indicate stable and unstable fixed points of the mean-field <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045029#pone.0045029.e230" target="_blank">equation (16</a>). The other parameters are .</p
<p><b>(a)</b> Direct DFC in the inhibitory network. One stable control domain appears at d = 7 ms. T...
<p>A) Mean firing rate of the excitatory neurons. B) Integral of the auto-covariance function of the...
<p>The network size is and the mean degree is . The nodes with higher degrees are located closer to...
<p>(A) Bifurcation diagram with and with the variation of . Here, the asymptotical dynamics of the ...
<p>Thin solid curve: firing rates of both populations in a stable symmetric state (both populations ...
<p>(a) The bifurcation lines and cusp point in parameter space obtained through simulations of Erdös...
<p>(<b>A</b>) Schematic of the mean field model. Plastic synapses are indicated by <b>*</b>. (<b>B</...
<p>Mean field analysis of the model assessing the dependence of the network behaviour on the potenti...
<p>A-D: P(C) for trials when the sure target was (not) shown are represented with filled (open) circ...
<p>Dependence of the activation level on the degrees of the nodes is presented for a stationary p...
<p><b>A</b> Time-varying mean activity of the excitatory population in a balanced EI-network (param...
<p>From the first to the third row, the zeroth to second Fourier mode of the mean activity is shown....
<p>Discrete-time rate evolution. <b>a-b.</b> Network discrete-time activity: numerical integration o...
<p>MPF activity as a function of cell mass for the <i>MCN</i> strain (<i>cdc13-L-cdc2 Δcdc13 Δcdc2 Δ...
<p>The bifurcation lines and the cusp point in parameter space were obtained analytically from the m...
<p><b>(a)</b> Direct DFC in the inhibitory network. One stable control domain appears at d = 7 ms. T...
<p>A) Mean firing rate of the excitatory neurons. B) Integral of the auto-covariance function of the...
<p>The network size is and the mean degree is . The nodes with higher degrees are located closer to...
<p>(A) Bifurcation diagram with and with the variation of . Here, the asymptotical dynamics of the ...
<p>Thin solid curve: firing rates of both populations in a stable symmetric state (both populations ...
<p>(a) The bifurcation lines and cusp point in parameter space obtained through simulations of Erdös...
<p>(<b>A</b>) Schematic of the mean field model. Plastic synapses are indicated by <b>*</b>. (<b>B</...
<p>Mean field analysis of the model assessing the dependence of the network behaviour on the potenti...
<p>A-D: P(C) for trials when the sure target was (not) shown are represented with filled (open) circ...
<p>Dependence of the activation level on the degrees of the nodes is presented for a stationary p...
<p><b>A</b> Time-varying mean activity of the excitatory population in a balanced EI-network (param...
<p>From the first to the third row, the zeroth to second Fourier mode of the mean activity is shown....
<p>Discrete-time rate evolution. <b>a-b.</b> Network discrete-time activity: numerical integration o...
<p>MPF activity as a function of cell mass for the <i>MCN</i> strain (<i>cdc13-L-cdc2 Δcdc13 Δcdc2 Δ...
<p>The bifurcation lines and the cusp point in parameter space were obtained analytically from the m...
<p><b>(a)</b> Direct DFC in the inhibitory network. One stable control domain appears at d = 7 ms. T...
<p>A) Mean firing rate of the excitatory neurons. B) Integral of the auto-covariance function of the...
<p>The network size is and the mean degree is . The nodes with higher degrees are located closer to...