<p><b>A–B.</b> Gain and <b>C–D.</b> phase of the linear response of the QIF (red), EIF (green), LIF (blue) and complex-valued rate (black) models. <b>A.</b> and <b>C.</b> Baseline coefficient of variation of 0.1. <b>B.</b> and <b>D.</b> Baseline coefficient of variation of 0.7. Insets in A and C show gain and phase, respectively, of response near the resonant frequency of 50 Hz. In all cases, the baseline firing rate was 50 Hz.</p
<p>Linear rate response functions of EIF neurons subject to white noise input for modulations of the...
(a) An example spike raster in response to a drifting grating in an all-LIF IntFire1 simulation. (b)...
<p><b>A.</b> Response to step in the common input current in the noise-dominated regime. <b>B.</b> R...
<p>The response of each rate model is compared to a spiking population receiving an input with fluct...
<p>Illustration for a given set of parameters ( Hz, mV, mv, ms). From top to bottom: input signal...
(a)-(c) Firing rate estimates for the cases of low, medium and high frequency, respectively. (d)-(f)...
<p>(<b>A</b>) The input-output transfer function of a population, where the adaptation is ineffectiv...
<p>A: Effect of varying parameters and of the input signal, for Hz and mV. From left to right: (...
The leaky integrate-and-fire (LIF) is the simplest neuron model that cap-tures the essential propert...
<p><i>N</i> = 40,000, <i>K</i> = 800. <i>J</i><sub>0</sub> = 2, <i>I</i><sub>0</sub> = 0.3, <i>τ</i>...
<p>A: Comparison between the full filter and the single timescales approximation for three different...
<p>The firing rate is plotted for the numerical simulations in black, with analytic <a href="http://...
The “weak” and “high” contrast values were 0.4 and 0.8, respectively. As described in the text, the ...
<p>The changes in average firing rate (A), and the average BOLD correlations between modules (B), ar...
<p>Fitting of a firing efficiency curve to a sigmoid function (see Methods) that is characterized by...
<p>Linear rate response functions of EIF neurons subject to white noise input for modulations of the...
(a) An example spike raster in response to a drifting grating in an all-LIF IntFire1 simulation. (b)...
<p><b>A.</b> Response to step in the common input current in the noise-dominated regime. <b>B.</b> R...
<p>The response of each rate model is compared to a spiking population receiving an input with fluct...
<p>Illustration for a given set of parameters ( Hz, mV, mv, ms). From top to bottom: input signal...
(a)-(c) Firing rate estimates for the cases of low, medium and high frequency, respectively. (d)-(f)...
<p>(<b>A</b>) The input-output transfer function of a population, where the adaptation is ineffectiv...
<p>A: Effect of varying parameters and of the input signal, for Hz and mV. From left to right: (...
The leaky integrate-and-fire (LIF) is the simplest neuron model that cap-tures the essential propert...
<p><i>N</i> = 40,000, <i>K</i> = 800. <i>J</i><sub>0</sub> = 2, <i>I</i><sub>0</sub> = 0.3, <i>τ</i>...
<p>A: Comparison between the full filter and the single timescales approximation for three different...
<p>The firing rate is plotted for the numerical simulations in black, with analytic <a href="http://...
The “weak” and “high” contrast values were 0.4 and 0.8, respectively. As described in the text, the ...
<p>The changes in average firing rate (A), and the average BOLD correlations between modules (B), ar...
<p>Fitting of a firing efficiency curve to a sigmoid function (see Methods) that is characterized by...
<p>Linear rate response functions of EIF neurons subject to white noise input for modulations of the...
(a) An example spike raster in response to a drifting grating in an all-LIF IntFire1 simulation. (b)...
<p><b>A.</b> Response to step in the common input current in the noise-dominated regime. <b>B.</b> R...