<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron counts and (B) trial counts from clustered (filled circles) and non-clustered (open circles) networks. Insets zoom in on range of neurons used in <i>in vivo</i> recordings in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005141#pcbi.1005141.g003" target="_blank">Fig 3</a>. Circles represent mean across the five non-overlapping sets of neurons and five non-overlapping sets of trials (25 total sets) and error bars represent standard error across all sets. Standard error was generally very small and therefore error bars are not visible for most data points.</p
<p>The scaling is done for <i>p</i> = 1 (black line) and <i>p</i> = 20 (red and blue lines). For <i>...
ABSTRACT: The activity of ensembles of simultaneously recorded neurons can be represented as a set o...
<p><i>(A; Top Panel)</i> For each model, we illustrate how summary network statistics (Assortativity...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>Dependence of (A) <i>d</i><sub><i>shared</i></sub> and (B) percent shared variance on cluster rep...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
Recent studies have applied dimensionality reduction methods to understand how the multi-dimensional...
<p>(A) Left: Modes of clustered network. Each column of the heatmap is an eigenvector of the shared ...
<p><b>A</b> Diagram illustrating the network and indicating the parameters that are adjusted. <b>B</...
<p>(A) Modes of only-excitatory (top) and only-inhibitory (bottom) 100-neuron samplings from the clu...
<p>(A) Left: Modes of <i>in vivo</i> recordings. Each column of the heatmap is an eigenvector of the...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
<p>Comparison of the solution of (24) (solid) to the contribution of the leading order in (dashed)....
<p><b>A</b> Downscaling facilitates simulations, while taking the <i>N</i> → ∞ limit often affords a...
<p>(A) Network response (PSTH) for identical stimulation of 30 different subpopulations of 250 neuro...
<p>The scaling is done for <i>p</i> = 1 (black line) and <i>p</i> = 20 (red and blue lines). For <i>...
ABSTRACT: The activity of ensembles of simultaneously recorded neurons can be represented as a set o...
<p><i>(A; Top Panel)</i> For each model, we illustrate how summary network statistics (Assortativity...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>Dependence of (A) <i>d</i><sub><i>shared</i></sub> and (B) percent shared variance on cluster rep...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
Recent studies have applied dimensionality reduction methods to understand how the multi-dimensional...
<p>(A) Left: Modes of clustered network. Each column of the heatmap is an eigenvector of the shared ...
<p><b>A</b> Diagram illustrating the network and indicating the parameters that are adjusted. <b>B</...
<p>(A) Modes of only-excitatory (top) and only-inhibitory (bottom) 100-neuron samplings from the clu...
<p>(A) Left: Modes of <i>in vivo</i> recordings. Each column of the heatmap is an eigenvector of the...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
<p>Comparison of the solution of (24) (solid) to the contribution of the leading order in (dashed)....
<p><b>A</b> Downscaling facilitates simulations, while taking the <i>N</i> → ∞ limit often affords a...
<p>(A) Network response (PSTH) for identical stimulation of 30 different subpopulations of 250 neuro...
<p>The scaling is done for <i>p</i> = 1 (black line) and <i>p</i> = 20 (red and blue lines). For <i>...
ABSTRACT: The activity of ensembles of simultaneously recorded neurons can be represented as a set o...
<p><i>(A; Top Panel)</i> For each model, we illustrate how summary network statistics (Assortativity...