<p>Normalized histogram of 10<sup>5</sup> averages of <i>n</i> random individual neuron firing rates (symbols), and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121794#pone.0121794.e054" target="_blank">Eq (30)</a> (lines). For evaluation of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121794#pone.0121794.e054" target="_blank">Eq (30)</a> we calculated the mean stationary network activity </p><p></p><p></p><p></p><p><mi>r</mi><mo>^</mo></p><mo stretchy="false">(</mo><mi>s</mi><mo stretchy="false">)</mo><p></p><p></p><p></p> using the self-consistent <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121794#pone.0121794.e010" target="_blank">Eq (5)</a>. The corresponding...
<p>(<b>A</b>) Spontaneous activity (A1) and evoked response of a PIF network to a stimulus of orient...
Top left: Raster plots show spike times of 50 out of 10, 000 excitatory (E) and 50 out of 2, 500 inh...
<p>A firing rate model (Wilson-Cowan) with background correlated noisy inputs is analyzed to derive ...
<p>(A) Shown is the membrane potential histogram of a typical neuron during sampling. The data is th...
<p>Summary histograms and scatter plots of the distributions of firing rate (<b>A</b>) and regularit...
<p>Discrete-time rate evolution. <b>a-b.</b> Network discrete-time activity: numerical integration o...
<p>(A) Raster plot of network activity in response to stimulus with orientation . Neurons are sorted...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>(A) Average distribution of normalized firing rates by location/SNR. For each unit, , where is t...
<p>Probability distribution of synaptic input <i>h</i><sub><i>i</i></sub> = ∑<sub><i>j</i></sub> <i>...
<p>(<b>A</b>) Distributions of the log normally distributed synaptic input densities (left), and the...
<p>A) Selectivity is hard to sustain in a randomly connected network. Total input to a neuron has a ...
<div><p>The first, second, and third rows correspond to Networks 1, 2, and 3, respectively.</p> ...
<p>(A) The average correlation coefficients of the rLN, BWT and HSMs, and of an HSM in which each ne...
<p>(A) Mean rate-intensity function for neurons in area 3b, computed from responses to sinusoids; ma...
<p>(<b>A</b>) Spontaneous activity (A1) and evoked response of a PIF network to a stimulus of orient...
Top left: Raster plots show spike times of 50 out of 10, 000 excitatory (E) and 50 out of 2, 500 inh...
<p>A firing rate model (Wilson-Cowan) with background correlated noisy inputs is analyzed to derive ...
<p>(A) Shown is the membrane potential histogram of a typical neuron during sampling. The data is th...
<p>Summary histograms and scatter plots of the distributions of firing rate (<b>A</b>) and regularit...
<p>Discrete-time rate evolution. <b>a-b.</b> Network discrete-time activity: numerical integration o...
<p>(A) Raster plot of network activity in response to stimulus with orientation . Neurons are sorted...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>(A) Average distribution of normalized firing rates by location/SNR. For each unit, , where is t...
<p>Probability distribution of synaptic input <i>h</i><sub><i>i</i></sub> = ∑<sub><i>j</i></sub> <i>...
<p>(<b>A</b>) Distributions of the log normally distributed synaptic input densities (left), and the...
<p>A) Selectivity is hard to sustain in a randomly connected network. Total input to a neuron has a ...
<div><p>The first, second, and third rows correspond to Networks 1, 2, and 3, respectively.</p> ...
<p>(A) The average correlation coefficients of the rLN, BWT and HSMs, and of an HSM in which each ne...
<p>(A) Mean rate-intensity function for neurons in area 3b, computed from responses to sinusoids; ma...
<p>(<b>A</b>) Spontaneous activity (A1) and evoked response of a PIF network to a stimulus of orient...
Top left: Raster plots show spike times of 50 out of 10, 000 excitatory (E) and 50 out of 2, 500 inh...
<p>A firing rate model (Wilson-Cowan) with background correlated noisy inputs is analyzed to derive ...