<p>Dependence of the probability <i>p</i><sub>0</sub> of empty patterns on the number of spiking neurons <i>m</i><sub><i>n</i></sub> for and the subcritical state in our simulations at various sample size <i>n</i>. Dashed line represents the ideal case with all neurons firing randomly. Parameter set (<i>τ</i><sub><i>d</i>_<i>e</i></sub>, <i>τ</i><sub><i>d</i>_<i>i</i></sub>) is indicated by the triangle in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005384#pcbi.1005384.g006" target="_blank">Fig 6A and 6B</a>.</p
<p><b>A</b>: The lines of small white circles denote an entire column of neurons of the NxN matrix o...
In computer simulations of spiking neural networks, often it is assumed that every two neurons of th...
<p>(<b>A</b>) Spike probability function (SPF) corresponding to the maximum model. (<b>B</b>) Narrow...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p>Analysis on simulated spike data of 40 neurons. <b>A</b> Top: Simultaneous spiking activity of 40...
<p>Given any configuration of neurons, the K-pairwise model predicts the probability of firing of t...
(a, b): Example raster plots depicting the activity of a small, randomly chosen subset of neurons, o...
<p><b>A</b>: The model network consists of binary probabilistic model neurons with sparse connectivi...
A: The evolution of the joint probability density function at four different points in time (1, 5, 1...
Top left: Raster plots show spike times of 50 out of 10, 000 excitatory (E) and 50 out of 2, 500 inh...
<p>(<b>a</b>) Sparse and randomly connected networks display low spiking variability at high rates. ...
<p>Examples of population raster plots of the spiking activity of 100 neurons (vertical axis) over t...
<p>The network has <i>N</i> = 200 neurons each one with <i>k</i><sub>0</sub> = ⟨<i>k</i>⟩ = 20 neigh...
The Poisson process is an often employed model for the activity of neuronal populations. It is known...
<p><b>A</b>: The lines of small white circles denote an entire column of neurons of the NxN matrix o...
In computer simulations of spiking neural networks, often it is assumed that every two neurons of th...
<p>(<b>A</b>) Spike probability function (SPF) corresponding to the maximum model. (<b>B</b>) Narrow...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p>Analysis on simulated spike data of 40 neurons. <b>A</b> Top: Simultaneous spiking activity of 40...
<p>Given any configuration of neurons, the K-pairwise model predicts the probability of firing of t...
(a, b): Example raster plots depicting the activity of a small, randomly chosen subset of neurons, o...
<p><b>A</b>: The model network consists of binary probabilistic model neurons with sparse connectivi...
A: The evolution of the joint probability density function at four different points in time (1, 5, 1...
Top left: Raster plots show spike times of 50 out of 10, 000 excitatory (E) and 50 out of 2, 500 inh...
<p>(<b>a</b>) Sparse and randomly connected networks display low spiking variability at high rates. ...
<p>Examples of population raster plots of the spiking activity of 100 neurons (vertical axis) over t...
<p>The network has <i>N</i> = 200 neurons each one with <i>k</i><sub>0</sub> = ⟨<i>k</i>⟩ = 20 neigh...
The Poisson process is an often employed model for the activity of neuronal populations. It is known...
<p><b>A</b>: The lines of small white circles denote an entire column of neurons of the NxN matrix o...
In computer simulations of spiking neural networks, often it is assumed that every two neurons of th...
<p>(<b>A</b>) Spike probability function (SPF) corresponding to the maximum model. (<b>B</b>) Narrow...