<p><b>(a,b)</b> Zero-lag Pearson correlation coefficients were computed for all electrode pairs (n = 496) during ongoing activity. Shown are example distributions of all pairwise correlations for unaltered inhibition (black), increased inhibition (blue), and decreased inhibition (red). Broader distributions for unaltered inhibition indicate that correlations are more diverse than for either increased or decreased inhibition. Data in (a) are from one rat; data in (b) is from another rat. <b>(c)</b> Mean pairwise correlations undergo a sigmoidal increase as κ increases, with κ = 1 dividing weakly correlated cortical states from strongly correlated states. To illustrate this trend, we computed the mean pairwise correlation for each experiment ...
The spiking activity of cortical neurons is highly variable. This variability is generally correlate...
Experimental and numerical results suggest that the brain can be viewed as a systemacting close to a...
The spiking activity of cortical neurons is highly variable. This variability is generally correlate...
<p>Upper panel shows the raw correlation (CCH<sub>raw</sub>), correlation driven by common input (Ji...
<p><b>(a)</b> Example MUA spike count time series during ongoing activity for unaltered inhibition (...
Despite the large amount of shared input between nearby neurons in cortical circuits, pairwise covar...
<p>(A) Distribution of correlation coefficients for pairs of neurons in the network. For the example...
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across...
<p>Activity in a network of binary inhibitory neurons with synaptic amplitudes . Each neuron receiv...
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across...
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across...
© The Author(s) 2014. This article is published with open access at Springerlink.com Abstract In viv...
Kriener et al. The function of cortical networks depends on the collective interplay between neurons...
<p><b>A</b>: Spike-train variances (black) and (gray) of excitatory and inhibitory neurons. <b>B</...
<p><b>A</b> Auto-covariance of the mean activity of one of the excitatory populations (black). Cross...
The spiking activity of cortical neurons is highly variable. This variability is generally correlate...
Experimental and numerical results suggest that the brain can be viewed as a systemacting close to a...
The spiking activity of cortical neurons is highly variable. This variability is generally correlate...
<p>Upper panel shows the raw correlation (CCH<sub>raw</sub>), correlation driven by common input (Ji...
<p><b>(a)</b> Example MUA spike count time series during ongoing activity for unaltered inhibition (...
Despite the large amount of shared input between nearby neurons in cortical circuits, pairwise covar...
<p>(A) Distribution of correlation coefficients for pairs of neurons in the network. For the example...
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across...
<p>Activity in a network of binary inhibitory neurons with synaptic amplitudes . Each neuron receiv...
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across...
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across...
© The Author(s) 2014. This article is published with open access at Springerlink.com Abstract In viv...
Kriener et al. The function of cortical networks depends on the collective interplay between neurons...
<p><b>A</b>: Spike-train variances (black) and (gray) of excitatory and inhibitory neurons. <b>B</...
<p><b>A</b> Auto-covariance of the mean activity of one of the excitatory populations (black). Cross...
The spiking activity of cortical neurons is highly variable. This variability is generally correlate...
Experimental and numerical results suggest that the brain can be viewed as a systemacting close to a...
The spiking activity of cortical neurons is highly variable. This variability is generally correlate...