Kriener et al. The function of cortical networks depends on the collective interplay between neurons and neuronal populations, which is reflected in the correlation of signals that can be recorded at different levels. To correctly interpret these observations it is important to understand the origin of neuronal correlations. Here we study how cells in large recurrent networks of exci-tatory and inhibitory neurons interact and how the associated correlations affect stationary states of idle network activity. We demonstrate that the structure of the connectivity ma-trix of such networks induces considerable correlations between synaptic currents as well as between subthreshold membrane potentials, provided Dale’s principle is respected.If, in...
Experimental findings suggest that cortical networks operate in a balanced state [1] in which strong...
<p>The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs an...
The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs and e...
Correlated neuronal activity is a natural consequence of network connectivity and shared inputs to p...
<div><p>Novel experimental techniques reveal the simultaneous activity of larger and larger numbers ...
Correlated neuronal activity is a natural consequence of network connectivity and shared inputs to p...
Novel experimental techniques reveal the simultaneous activity of larger and larger numbers of neuro...
Spatiotemporal correlations in brain activity are functionally important and have been implicated in...
The cerebral cortex exhibits distinct connectivity patterns on different length scales. Long range c...
There is broad consent that understanding the brain's function relies on the investigation of the mu...
The cerebral cortex exhibits distinct connectivity patterns on different length scales. Long range c...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
Experimental findings suggest, that cortical networks operate in a balanced state, in which strong r...
Despite the large amount of shared input between nearby neurons in cortical circuits, pairwise covar...
Correlations in spike-train ensembles can seriously impair the encoding of information by their spat...
Experimental findings suggest that cortical networks operate in a balanced state [1] in which strong...
<p>The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs an...
The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs and e...
Correlated neuronal activity is a natural consequence of network connectivity and shared inputs to p...
<div><p>Novel experimental techniques reveal the simultaneous activity of larger and larger numbers ...
Correlated neuronal activity is a natural consequence of network connectivity and shared inputs to p...
Novel experimental techniques reveal the simultaneous activity of larger and larger numbers of neuro...
Spatiotemporal correlations in brain activity are functionally important and have been implicated in...
The cerebral cortex exhibits distinct connectivity patterns on different length scales. Long range c...
There is broad consent that understanding the brain's function relies on the investigation of the mu...
The cerebral cortex exhibits distinct connectivity patterns on different length scales. Long range c...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
Experimental findings suggest, that cortical networks operate in a balanced state, in which strong r...
Despite the large amount of shared input between nearby neurons in cortical circuits, pairwise covar...
Correlations in spike-train ensembles can seriously impair the encoding of information by their spat...
Experimental findings suggest that cortical networks operate in a balanced state [1] in which strong...
<p>The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs an...
The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs and e...