Traces indicate the average temporal autocorrelation for spike count fluctuations in alert (blue) and anesthetized (orange) conditions. To calculate autocorrelation, spikes are binned in 2 ms windows and smoothed over a running average of 5 bins. Autocorrelation is normalized by variance and averaged over the population. The time course of autocorrelation is longer under anesthesia, decaying with an exponential time constant of 88 ms compared to 29 ms in the alert state.</p
Relating behavioral and neuroimaging measures is essential to understanding human brain function. Of...
These data are the means and variance of spike counts in an analysis window beginning at motion onse...
<p>(A) 6s EEG trial is divided into 1s windows shifted by 100ms and band-pass filtering is performed...
Item does not contain fulltextLong-term studies in WAG/Rij rats revealed non-random order of appeara...
<p><b>A.</b> Rasterized spike trains recorded simultaneously from a non-alpha (top trace) and OFF al...
<p>Interspike intervals of two concurrent spike trains were sampled from a gamma distribution with c...
We used previously accumulated skin conductance (SC) and EEG data to examine the effects of their re...
<p><b>A:</b> The autocovariance function was calculated for each time step time <i>t</i> and average...
Correlated variability in the spiking responses of pairs of neurons, also known as spike count corre...
<p>(A) The recording setup. Stimulation currents are applied locally through a stimulation ring, whi...
<p>100 motor unit spike trains were simulated with an average discharge rate of 2∼80%. P was set to ...
Quantifying individual variation in labile physiological or behavioral traits often involves repeate...
<p>(a) Mean value of Moran's Index computed on the 26 epidemics from the Sentinelles network, and (b...
A: Autocorrelation function of the firing rates in the network with synaptic filtering; dynamical me...
<p>Simulated data sets with known levels of temporal auto-correlation between residuals (spanning th...
Relating behavioral and neuroimaging measures is essential to understanding human brain function. Of...
These data are the means and variance of spike counts in an analysis window beginning at motion onse...
<p>(A) 6s EEG trial is divided into 1s windows shifted by 100ms and band-pass filtering is performed...
Item does not contain fulltextLong-term studies in WAG/Rij rats revealed non-random order of appeara...
<p><b>A.</b> Rasterized spike trains recorded simultaneously from a non-alpha (top trace) and OFF al...
<p>Interspike intervals of two concurrent spike trains were sampled from a gamma distribution with c...
We used previously accumulated skin conductance (SC) and EEG data to examine the effects of their re...
<p><b>A:</b> The autocovariance function was calculated for each time step time <i>t</i> and average...
Correlated variability in the spiking responses of pairs of neurons, also known as spike count corre...
<p>(A) The recording setup. Stimulation currents are applied locally through a stimulation ring, whi...
<p>100 motor unit spike trains were simulated with an average discharge rate of 2∼80%. P was set to ...
Quantifying individual variation in labile physiological or behavioral traits often involves repeate...
<p>(a) Mean value of Moran's Index computed on the 26 epidemics from the Sentinelles network, and (b...
A: Autocorrelation function of the firing rates in the network with synaptic filtering; dynamical me...
<p>Simulated data sets with known levels of temporal auto-correlation between residuals (spanning th...
Relating behavioral and neuroimaging measures is essential to understanding human brain function. Of...
These data are the means and variance of spike counts in an analysis window beginning at motion onse...
<p>(A) 6s EEG trial is divided into 1s windows shifted by 100ms and band-pass filtering is performed...