<p>A: Membrane potential distributions of GIF and r-matched IF neurons in response to the background input alone, for different values of the background inhibition-to-excitation ratio <i>k</i>. In all cases, the voltage threshold for spike generation has been adjusted in order to match the rate response of the canonical GIF (73.7 Hz). Color and line style code as indicated. Inset shows the mean membrane potential as a function of <i>k</i> for the four model networks shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003574#pcbi-1003574-g003" target="_blank">Figure 3</a> (same line colors and styles). B, D: Synchrony (as assessed by , B) and firing rates (D) as a function of coupling strength . C: Enlarged ...
<p>(A) Excitatory networks (P<sub>e</sub> = 0.15); (B) excitatory and inhibitory networks (P<sub>e</...
<p>A: Covariation of the mean membrane potential and the mean intrinsic current across neurons in th...
<p>A: Membrane voltage traces of the BS (blue), eP (green) and P (red) neuron models in response to ...
<p>(A) Homogeneous network. Example profiles for two neurons with identical kernels. Vertical line r...
<p><b>A,</b> Three action potentials (clipped) recorded from a TRN neuron are shown with the membran...
<p><b>A</b> Color panel is the surface plot of firing rate (averaged ove...
<p>The mean firing rate versus coupling strength for chemically-coupled neurons with excitatory conn...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
<p>Tuning of the membrane potential for neurons in the LIF network shown in <a href="http://www.plos...
<p>Dynamics of the iGIF model (with parameters extracted from a typical Pyr neuron) responding to th...
<p><b>A</b> Exemplary time course of a membrane potential driven by input containing strong, synchro...
<p>Population rate (A), along with the mean membrane potential <i>v</i> (B), the mean synaptic curr...
<p>A: Phase of the sinusoidal fit to the mean synaptic current plotted against the local level of s...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neu-rons, ...
<p>In (A-C) a single parameter is varied (two values are shown) and the coupling between model neuro...
<p>(A) Excitatory networks (P<sub>e</sub> = 0.15); (B) excitatory and inhibitory networks (P<sub>e</...
<p>A: Covariation of the mean membrane potential and the mean intrinsic current across neurons in th...
<p>A: Membrane voltage traces of the BS (blue), eP (green) and P (red) neuron models in response to ...
<p>(A) Homogeneous network. Example profiles for two neurons with identical kernels. Vertical line r...
<p><b>A,</b> Three action potentials (clipped) recorded from a TRN neuron are shown with the membran...
<p><b>A</b> Color panel is the surface plot of firing rate (averaged ove...
<p>The mean firing rate versus coupling strength for chemically-coupled neurons with excitatory conn...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
<p>Tuning of the membrane potential for neurons in the LIF network shown in <a href="http://www.plos...
<p>Dynamics of the iGIF model (with parameters extracted from a typical Pyr neuron) responding to th...
<p><b>A</b> Exemplary time course of a membrane potential driven by input containing strong, synchro...
<p>Population rate (A), along with the mean membrane potential <i>v</i> (B), the mean synaptic curr...
<p>A: Phase of the sinusoidal fit to the mean synaptic current plotted against the local level of s...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neu-rons, ...
<p>In (A-C) a single parameter is varied (two values are shown) and the coupling between model neuro...
<p>(A) Excitatory networks (P<sub>e</sub> = 0.15); (B) excitatory and inhibitory networks (P<sub>e</...
<p>A: Covariation of the mean membrane potential and the mean intrinsic current across neurons in th...
<p>A: Membrane voltage traces of the BS (blue), eP (green) and P (red) neuron models in response to ...