<p>The panels (<b>A-Q</b>) are the same as <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004464#pcbi.1004464.g003" target="_blank">Fig 3</a>, where instead of a logistic GLM (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004464#pcbi.1004464.e002" target="_blank">Eq 1</a>), we used a stochastic leaky integrate and fire neuron model (in discrete time). In this model, <i>V</i><sub><i>i</i>, <i>t</i></sub> = (<i>γV</i><sub><i>i</i>, <i>t</i>−1</sub>+(1−<i>γ</i>)<i>U</i><sub><i>i</i>, <i>t</i></sub>+<i>ε</i><sub><i>i</i>, <i>t</i></sub>)</p
<p>We scan over <b>(A)</b> observation probability <i>p</i><sub>obs</sub>, <b>(B)</b> network size <...
<div><p>(A) Null hypothesis is generated by assuming independent probabilities of connection.</p> ...
We perform a systematic analysis of the quality of fit of the stochastic block model (SBM) for 275 e...
<p>With <i>N</i> = 50 neurons, and an experiment length of 5.5 hours, we examine various observation...
A statement like “$N_\text{s}$ source neurons and $N_\text{t}$ target neurons are connected randomly...
A) In order to study the connectivity of trained models, we fitted a mixture of Gaussians with 1 to ...
<p><b>A</b>, Schematic overview of the linear rate model. First, spike trains are convolved with a s...
© 2020, The Author(s), under exclusive licence to Springer Nature America, Inc. Understanding the me...
<p>A) Schematic representation of the network model with limited connectivity. Note larger connected...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
Background: Statistical models that predict neuron spike occurrence from the earlier spiking activit...
<p><b>A</b> Color panel is the surface plot of firing rate (averaged ove...
<p>(A) Probability Density Function (PDF) of the logarithms of the inhibitory connection strengths (...
The brain’s structural connectivity plays a fundamental role in determining how neuron networks gene...
<p>The figures on the left hand side column show the typical probabilities of a synapse from a neuro...
<p>We scan over <b>(A)</b> observation probability <i>p</i><sub>obs</sub>, <b>(B)</b> network size <...
<div><p>(A) Null hypothesis is generated by assuming independent probabilities of connection.</p> ...
We perform a systematic analysis of the quality of fit of the stochastic block model (SBM) for 275 e...
<p>With <i>N</i> = 50 neurons, and an experiment length of 5.5 hours, we examine various observation...
A statement like “$N_\text{s}$ source neurons and $N_\text{t}$ target neurons are connected randomly...
A) In order to study the connectivity of trained models, we fitted a mixture of Gaussians with 1 to ...
<p><b>A</b>, Schematic overview of the linear rate model. First, spike trains are convolved with a s...
© 2020, The Author(s), under exclusive licence to Springer Nature America, Inc. Understanding the me...
<p>A) Schematic representation of the network model with limited connectivity. Note larger connected...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
Background: Statistical models that predict neuron spike occurrence from the earlier spiking activit...
<p><b>A</b> Color panel is the surface plot of firing rate (averaged ove...
<p>(A) Probability Density Function (PDF) of the logarithms of the inhibitory connection strengths (...
The brain’s structural connectivity plays a fundamental role in determining how neuron networks gene...
<p>The figures on the left hand side column show the typical probabilities of a synapse from a neuro...
<p>We scan over <b>(A)</b> observation probability <i>p</i><sub>obs</sub>, <b>(B)</b> network size <...
<div><p>(A) Null hypothesis is generated by assuming independent probabilities of connection.</p> ...
We perform a systematic analysis of the quality of fit of the stochastic block model (SBM) for 275 e...