<p>Shown are the success rates for three decay rates () and four different noise strengths () as a function of the timing of the executive input. For each decay, noise, and input value the simulation was run 200 times. The last 10 persistent cells in the feed forward chain were used in the calculation. The green lines show the boundaries of the timing interval described in the previous section. The noise causes a near symmetric distribution of end of delay period activity levels centered around the mean (the predicted value given in the previous section). At the boundaries, this distribution will be centered around the range required for success, and so the success rate at these boundaries is for all noise strengths.</p
<p>The left two panels are for a small <i>R</i> value and the right two panels are for a large <i>R<...
<p><b>(A)</b> Simulated perturbation: small reward of size <i>x</i> (< 1, which is the amount of the...
<p>(A) Distributions of delay parameter estimates obtained from fitting a delayed exponential to sim...
<p>The columns correspond to constant, normal, log-normal and power-law ability distributions with a...
<p>Shown are time series for stimulus variable values ranging from (black) to (brown). For each of...
<p>The metrics are (A) Bifurcation, or the number of transitions between phase-locked and phase-slip...
<p>The first row shows the distributions for a line attractor. The second and third rows show the di...
<p>Different patterns correlated with working memory are obtained for different values of the facili...
The analytical noise ceiling estimator for the correlation coefficient in blue and its [5 95] percen...
<p>The top plot shows the evolution of a properly tuned persistent cell during a delay period of len...
<p>(A) Simulations to test robustness against noise in the PNs. Percentage of correct trials (i.e. t...
<p><i>t</i> = 0 represents a starting configuration where the improvement has already converged to a...
<p>Comparison of the time course of correlations obtained from the <i>Linear Noise Approximation</i>...
<p>Results from the simulations of the full spiking model with 2500 neurons in four different trials...
<p>A. The relationship between phase trajectories, phase distribution at the mean spike time, and th...
<p>The left two panels are for a small <i>R</i> value and the right two panels are for a large <i>R<...
<p><b>(A)</b> Simulated perturbation: small reward of size <i>x</i> (< 1, which is the amount of the...
<p>(A) Distributions of delay parameter estimates obtained from fitting a delayed exponential to sim...
<p>The columns correspond to constant, normal, log-normal and power-law ability distributions with a...
<p>Shown are time series for stimulus variable values ranging from (black) to (brown). For each of...
<p>The metrics are (A) Bifurcation, or the number of transitions between phase-locked and phase-slip...
<p>The first row shows the distributions for a line attractor. The second and third rows show the di...
<p>Different patterns correlated with working memory are obtained for different values of the facili...
The analytical noise ceiling estimator for the correlation coefficient in blue and its [5 95] percen...
<p>The top plot shows the evolution of a properly tuned persistent cell during a delay period of len...
<p>(A) Simulations to test robustness against noise in the PNs. Percentage of correct trials (i.e. t...
<p><i>t</i> = 0 represents a starting configuration where the improvement has already converged to a...
<p>Comparison of the time course of correlations obtained from the <i>Linear Noise Approximation</i>...
<p>Results from the simulations of the full spiking model with 2500 neurons in four different trials...
<p>A. The relationship between phase trajectories, phase distribution at the mean spike time, and th...
<p>The left two panels are for a small <i>R</i> value and the right two panels are for a large <i>R<...
<p><b>(A)</b> Simulated perturbation: small reward of size <i>x</i> (< 1, which is the amount of the...
<p>(A) Distributions of delay parameter estimates obtained from fitting a delayed exponential to sim...