<p><b>A</b> Serial correlation coefficient in the case of channels (corresponding to ) for stochastic adaptation (circles, Eq. (3)) and for deterministic adaptation (squares, Eq. (2)). Theoretical curves for stochastic adaptation, Eq. (72), and deterministic adaptation, Eq. (9), are displayed by a dashed line and a solid line, respectively. The zero baseline is indicated by a dotted line. <b>B</b> shows the corresponding plot for channels (corresponding to ) and . The gray-shaded region marks the relevant range for spike-frequency adaptation. was varied by changing at fixed (), all other parameters as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1001026#pcbi-1001026-g002" target="_blank">Fig. 2</a>.</...
<div><p>(A) Stimulus segments were projected onto two orthogonal features (black): a sharper excitat...
Neural firing is often subject to negative feedback by adaptationcurrents. These currents can induce...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...
<p><b>A</b> The case of deterministic adaptation with for different values of the time constant (a...
<p><b>A</b> Rescaled skewness (Eq. (61)) and <b>B</b> rescaled kurtosis (Eq. (62)) as a function o...
<p><b>A</b>: SCC value (ranging from −1 to +1) as a function of the lag of interspike intervals, fo...
<p>Adaptation time constants were determined from single exponential curves fitted to PSTHs obtained...
<p>Lag-1 serial correlation coefficients of precipitation on different scales.</p
simplex When repeated observations are taken at equal time intervals, a simple form of a stationary ...
<p><b>A</b> Rescaled skewness and <b>B</b> rescaled kurtosis for channels (corresponding ) for st...
<p><b>A</b>. Firing rate in the “leaves” natural movie (M1) plotted against firing rate in the “wate...
We study the spike statistics of an adaptive exponential integrate-and-fire neuron stimulated by whi...
<p>(<b>A</b>) Center latency (time to peak of the temporal kernel) is shorter for spatio-temporal ex...
<p>For a fixed level of white noise () the number of adaptation channels was varied. For a small ch...
<p><i>A</i>: The variance curve of a typical cell. Optimal latency (T<sub>optimal</sub>) is given by...
<div><p>(A) Stimulus segments were projected onto two orthogonal features (black): a sharper excitat...
Neural firing is often subject to negative feedback by adaptationcurrents. These currents can induce...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...
<p><b>A</b> The case of deterministic adaptation with for different values of the time constant (a...
<p><b>A</b> Rescaled skewness (Eq. (61)) and <b>B</b> rescaled kurtosis (Eq. (62)) as a function o...
<p><b>A</b>: SCC value (ranging from −1 to +1) as a function of the lag of interspike intervals, fo...
<p>Adaptation time constants were determined from single exponential curves fitted to PSTHs obtained...
<p>Lag-1 serial correlation coefficients of precipitation on different scales.</p
simplex When repeated observations are taken at equal time intervals, a simple form of a stationary ...
<p><b>A</b> Rescaled skewness and <b>B</b> rescaled kurtosis for channels (corresponding ) for st...
<p><b>A</b>. Firing rate in the “leaves” natural movie (M1) plotted against firing rate in the “wate...
We study the spike statistics of an adaptive exponential integrate-and-fire neuron stimulated by whi...
<p>(<b>A</b>) Center latency (time to peak of the temporal kernel) is shorter for spatio-temporal ex...
<p>For a fixed level of white noise () the number of adaptation channels was varied. For a small ch...
<p><i>A</i>: The variance curve of a typical cell. Optimal latency (T<sub>optimal</sub>) is given by...
<div><p>(A) Stimulus segments were projected onto two orthogonal features (black): a sharper excitat...
Neural firing is often subject to negative feedback by adaptationcurrents. These currents can induce...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...