<p>For panels (a–b) = 1.6 s, while for panels (c–d) = 1.2 s. In all cases, = 0.8 s, = 1.6 s, and W<sub>0</sub> = 8.6 (a) Mean population firing rate as a function of time. (b) Adaptation leak conductance g<sub>a</sub> (population-averaged) as a function of time. Inside a BNS, it tends to accumulate across successive NSs, until it is high enough to prevent subsequent NSs. Thus BNS termination is almost deterministic, while BNS initiation is stochastic. (c) Mean population firing rate as a function of time. (d) Adaptation leak conductance g<sub>a</sub> (population-averaged) as a function of time. It cannot accumulate across successive NSs. Thus both BNS initiation and termination are stochastic. This can lead to hundreds of ms long BNSs, ...
<p>Panel A: noisy mean-field simulations; panel B: <i>ex-vivo</i> data. Random large excursions of t...
<p>Bar chart shows the median burst propagation time (from all transient networks of all cultures at...
<p>In A and B, we illustrate the models that encode the different temporal contact structures. In th...
<p>(<b>A</b>) Temporal evolution of the average firing rate in the excitatory population for differe...
<p>We consider two arrangements of the compartment sizes for <i>n</i> = 3: constant from <i>C</i><su...
A Analysis of the STP+LPA rate model (see Models and methods, Table C in S1 Text). Parameters: M = 0...
<p>Response of the recurrent network when up to 40% of the inhibitory cells are removed. A: Median f...
<p>(a) Raster plot showing the spikes of 60 neurons (black dots) as a function of time. The gray lin...
<p>The number of infected cells <i>n<sub>I</sub></i> versus time <i>t</i>, for Model 1 with multiple...
<p>The model with programmed expansion and contraction of latently infected cells can generate viral...
<p>A: Mean spike-triggered multi-unit activity (S-MUA) in active (full line) and quiescent state (da...
<p>A: Response of the excitatory population to a 100% increase of the external drive to both e-cells...
<p>(A) The average ISI decreases with the concentration ( = 5) and with ( = 1 ). The other param...
<p>(a, b) Effect of the input amplitude on oscillation properties. (a) Histograms of firing probabil...
<p>Time evolution of <i>P</i>(<i>C</i><sub><i>l</i></sub>, <i>t</i>) shown at <i>t</i> = 0.001 + 0.4...
<p>Panel A: noisy mean-field simulations; panel B: <i>ex-vivo</i> data. Random large excursions of t...
<p>Bar chart shows the median burst propagation time (from all transient networks of all cultures at...
<p>In A and B, we illustrate the models that encode the different temporal contact structures. In th...
<p>(<b>A</b>) Temporal evolution of the average firing rate in the excitatory population for differe...
<p>We consider two arrangements of the compartment sizes for <i>n</i> = 3: constant from <i>C</i><su...
A Analysis of the STP+LPA rate model (see Models and methods, Table C in S1 Text). Parameters: M = 0...
<p>Response of the recurrent network when up to 40% of the inhibitory cells are removed. A: Median f...
<p>(a) Raster plot showing the spikes of 60 neurons (black dots) as a function of time. The gray lin...
<p>The number of infected cells <i>n<sub>I</sub></i> versus time <i>t</i>, for Model 1 with multiple...
<p>The model with programmed expansion and contraction of latently infected cells can generate viral...
<p>A: Mean spike-triggered multi-unit activity (S-MUA) in active (full line) and quiescent state (da...
<p>A: Response of the excitatory population to a 100% increase of the external drive to both e-cells...
<p>(A) The average ISI decreases with the concentration ( = 5) and with ( = 1 ). The other param...
<p>(a, b) Effect of the input amplitude on oscillation properties. (a) Histograms of firing probabil...
<p>Time evolution of <i>P</i>(<i>C</i><sub><i>l</i></sub>, <i>t</i>) shown at <i>t</i> = 0.001 + 0.4...
<p>Panel A: noisy mean-field simulations; panel B: <i>ex-vivo</i> data. Random large excursions of t...
<p>Bar chart shows the median burst propagation time (from all transient networks of all cultures at...
<p>In A and B, we illustrate the models that encode the different temporal contact structures. In th...