<p>Dependence of (A) <i>d</i><sub><i>shared</i></sub> and (B) percent shared variance on cluster representation in the set of sampled neurons. Analyses were performed for 50 neurons with 10,000 trials. ‘Rand’ indicates random sampling over all excitatory neurons. Circles represent mean across five non-overlapping sets of neurons and five non-overlapping sets of trials (25 total sets) of a single network with clustered structure. Error bars represent standard error across all sets.</p
<p>(A) Increase in mean-squared error (MSE) by number of edges removed, normalized by neuron total M...
Sorting spikes from extracellular recording into clusters associated with distinct single units (put...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>(A) Modes of only-excitatory (top) and only-inhibitory (bottom) 100-neuron samplings from the clu...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>(A) Left: Modes of clustered network. Each column of the heatmap is an eigenvector of the shared ...
<div><p>Recent studies have applied dimensionality reduction methods to understand how the multi-dim...
<p>(A) Factor analysis partitions the spike count covariance of sampled excitatory and inhibitory ne...
Multilevel analysis quantifies variation in the experimental effect while optimizing power and preve...
<p><b>A</b>: Dendrogram illustrating the result of hierarchical cluster analysis. The units (n = 233...
A conventional study design among medical and biological experimentalists involves collecting multip...
<p>(A) Left: Modes of <i>in vivo</i> recordings. Each column of the heatmap is an eigenvector of the...
The scenario considered here is one where brain connectivity is represented as a network and an expe...
<p>(A) Increase in mean-squared error (MSE) by number of edges removed, normalized by neuron total M...
Sorting spikes from extracellular recording into clusters associated with distinct single units (put...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>(A) Modes of only-excitatory (top) and only-inhibitory (bottom) 100-neuron samplings from the clu...
<p>The <i>d</i><sub><i>shared</i></sub> and percent shared variance over a range of (A) neuron count...
<p>(A) Left: Modes of clustered network. Each column of the heatmap is an eigenvector of the shared ...
<div><p>Recent studies have applied dimensionality reduction methods to understand how the multi-dim...
<p>(A) Factor analysis partitions the spike count covariance of sampled excitatory and inhibitory ne...
Multilevel analysis quantifies variation in the experimental effect while optimizing power and preve...
<p><b>A</b>: Dendrogram illustrating the result of hierarchical cluster analysis. The units (n = 233...
A conventional study design among medical and biological experimentalists involves collecting multip...
<p>(A) Left: Modes of <i>in vivo</i> recordings. Each column of the heatmap is an eigenvector of the...
The scenario considered here is one where brain connectivity is represented as a network and an expe...
<p>(A) Increase in mean-squared error (MSE) by number of edges removed, normalized by neuron total M...
Sorting spikes from extracellular recording into clusters associated with distinct single units (put...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...