<p>(A) Eigenvalue spectrum of the spike count correlation matrix of a heterogeneous pseudo-population containing all 30 neurons in our data set, and input correlations of and . The inset shows the largest eigenvalue (circle) and mean of all other eigenvalues (diamond) as function of population size. (B) The different eigenvectors of the spike-count correlation matrix ( and ) are shown by different colors. The thick blue line depicts the eigenvector with the largest eigenvalue.</p
We consider large complex random sample covariance matrices obtained from ``spiked populations'', th...
We consider a spiked population model, proposed by Johnstone, whose population eigenvalues are all u...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...
<p>(A) The spectrum of the correlation matrix of a homogenous pseudo-population of 30 neurons, with ...
<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a...
(A) Eigenvalue spectra of excitatory-inhibitory connectivity matrices J with elements generated from...
<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a...
<p>(A) One over the Mean Square Error of OLE estimation, plotted as function of population size for ...
(A) Eigenvalue spectra of excitatory-inhibitory connectivity matrices J, with homogeneous variance p...
<p>The correlation coefficients matrix was computed for heterogeneous pseudo-population of neurons ...
This paper focuses on large neural networks whose synaptic connectivity matrices are randomly chosen...
In a spiked population model, the population covariance matrix has all its eigenvalues equal to unit...
(A) Eigenvalue spectra of excitatory-inhibitory connectivity matrices J, with homogeneous reciprocal...
AbstractIn the spiked population model introduced by Johnstone (2001) [11], the population covarianc...
We analyze the effects of noise correlations in the input to, or among, Bienenstock-Cooper-Munro neu...
We consider large complex random sample covariance matrices obtained from ``spiked populations'', th...
We consider a spiked population model, proposed by Johnstone, whose population eigenvalues are all u...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...
<p>(A) The spectrum of the correlation matrix of a homogenous pseudo-population of 30 neurons, with ...
<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a...
(A) Eigenvalue spectra of excitatory-inhibitory connectivity matrices J with elements generated from...
<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a...
<p>(A) One over the Mean Square Error of OLE estimation, plotted as function of population size for ...
(A) Eigenvalue spectra of excitatory-inhibitory connectivity matrices J, with homogeneous variance p...
<p>The correlation coefficients matrix was computed for heterogeneous pseudo-population of neurons ...
This paper focuses on large neural networks whose synaptic connectivity matrices are randomly chosen...
In a spiked population model, the population covariance matrix has all its eigenvalues equal to unit...
(A) Eigenvalue spectra of excitatory-inhibitory connectivity matrices J, with homogeneous reciprocal...
AbstractIn the spiked population model introduced by Johnstone (2001) [11], the population covarianc...
We analyze the effects of noise correlations in the input to, or among, Bienenstock-Cooper-Munro neu...
We consider large complex random sample covariance matrices obtained from ``spiked populations'', th...
We consider a spiked population model, proposed by Johnstone, whose population eigenvalues are all u...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...