<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a function of the neuron number in a homogeneous population based on the responses of cell 13. As the population is homogeneous the signal is distributed homogeneously in the responses of the different neurons in the population. The inset shows the distribution of the signal over the different eigenvectors of the neural spike-count correlation matrix (with uniform correlation coefficient of 0.2), as a function of the rank of their eigenvalue. The inset shows the projection of the signal vector on each eigenvalue in percent. Note that the first eigenvector corresponds to the uniform vector (cf <a href="http://www.plosone.org/article/info:doi/10...
none3We analyze the effects of noise correlations in the input to, or among, Bienenstock-Cooper-Munr...
As multi-electrode and imaging technology begin to provide us with simultaneous recordings of large ...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...
<p>The correlation coefficients matrix was computed for heterogeneous pseudo-population of neurons ...
<p>(A) The spectrum of the correlation matrix of a homogenous pseudo-population of 30 neurons, with ...
<p>Neural responses for a population of 30 neurons containing all the cells in our data set were gen...
<p>(A) Eigenvalue spectrum of the spike count correlation matrix of a heterogeneous pseudo-populati...
<p><b>A.</b> The eigenvalues of the signal correlation matrix for populations of 8 simultaneously re...
<p>(A) One over the Mean Square Error of OLE estimation, plotted as function of population size for ...
<p><b>A</b>: Spike-train variances (black) and (gray) of excitatory and inhibitory neurons. <b>B</...
<p>Spectra of for increasing dataset size in the case of strongly correlated Gaussian noise (A,B) a...
International audienceHow much information does a neural population convey about a stimulus? Answers...
Modern recording methods and spike-sorting algorithms now allow the simultaneous recording of many n...
none3We analyze the effects of noise correlations in the input to, or among, Bienenstock-Cooper-Munr...
As multi-electrode and imaging technology begin to provide us with simultaneous recordings of large ...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>The signal, in terms of the covariance between the neural response and the stimulus is shown as a...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...
<p>The correlation coefficients matrix was computed for heterogeneous pseudo-population of neurons ...
<p>(A) The spectrum of the correlation matrix of a homogenous pseudo-population of 30 neurons, with ...
<p>Neural responses for a population of 30 neurons containing all the cells in our data set were gen...
<p>(A) Eigenvalue spectrum of the spike count correlation matrix of a heterogeneous pseudo-populati...
<p><b>A.</b> The eigenvalues of the signal correlation matrix for populations of 8 simultaneously re...
<p>(A) One over the Mean Square Error of OLE estimation, plotted as function of population size for ...
<p><b>A</b>: Spike-train variances (black) and (gray) of excitatory and inhibitory neurons. <b>B</...
<p>Spectra of for increasing dataset size in the case of strongly correlated Gaussian noise (A,B) a...
International audienceHow much information does a neural population convey about a stimulus? Answers...
Modern recording methods and spike-sorting algorithms now allow the simultaneous recording of many n...
none3We analyze the effects of noise correlations in the input to, or among, Bienenstock-Cooper-Munr...
As multi-electrode and imaging technology begin to provide us with simultaneous recordings of large ...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...