<p><i>α</i> and <i>γ</i>, versus the pump parameter for two thresholds: (a), (b) experimental data; (c), (d) simulated data. For the experimental data, the maximum values of the 95% confidence interval half-widths are quite small, 0.007 and 0.003 for <i>α</i> and <i>γ</i>, respectively. For the simulated data, the maximum half-widths are also quite small, 0.01 and 0.004, respectively, and therefore the error bars (parameter +/− confidence interval) are also not plotted because they are all too small to be seen.</p
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
<p>3A. The estimated parameter <i>θ</i><sub>1</sub> for the simulated data. 3B. The estimated parame...
<p>Error bars indicate a 95% confidence interval. Error bars in the results plot show a 95% confiden...
<p>Probabilities range from 0 to 1. Parameters represent conscious processes (<i>c</i>; unfilled bar...
<p>Also given are the standard error and T statistic for the values, and the upper and lower 95% con...
Experiment 3: Model fit and optimized parameter distributions for the two-state error-scaling model....
Experiment 3: Model fit and optimized parameter distributions for the two-state error-scaling non-ne...
Experiment 1: Model fit and optimized parameter distributions for the two-state error-scaling non-ne...
<p>(a) Approximate log-likelihoods, <i>ℓ</i>(<b>y</b><sub>1:<i>n</i></sub>|<i>θ</i><sub>*</sub>) and...
<p>(A) The three panel illustrate the relatively shallow way in which the goodness-of-fit, , is degr...
<p>The parameter values represent the probability that a singleton is available for selection separa...
<p>Point estimate and 95% confidence interval of the parameters of the best fitting ∂a∂i model (see ...
<p>Upper limit of 95% confidence interval (CI Upper) and lower limit of 95% confidence interval (CI ...
Experiment 2: Model fit and optimized parameter distributions for the two-state error-scaling non-ne...
(a) τ vs. ε extracted from ten simulation runs with the same parameters on a log-log scale. Power la...
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
<p>3A. The estimated parameter <i>θ</i><sub>1</sub> for the simulated data. 3B. The estimated parame...
<p>Error bars indicate a 95% confidence interval. Error bars in the results plot show a 95% confiden...
<p>Probabilities range from 0 to 1. Parameters represent conscious processes (<i>c</i>; unfilled bar...
<p>Also given are the standard error and T statistic for the values, and the upper and lower 95% con...
Experiment 3: Model fit and optimized parameter distributions for the two-state error-scaling model....
Experiment 3: Model fit and optimized parameter distributions for the two-state error-scaling non-ne...
Experiment 1: Model fit and optimized parameter distributions for the two-state error-scaling non-ne...
<p>(a) Approximate log-likelihoods, <i>ℓ</i>(<b>y</b><sub>1:<i>n</i></sub>|<i>θ</i><sub>*</sub>) and...
<p>(A) The three panel illustrate the relatively shallow way in which the goodness-of-fit, , is degr...
<p>The parameter values represent the probability that a singleton is available for selection separa...
<p>Point estimate and 95% confidence interval of the parameters of the best fitting ∂a∂i model (see ...
<p>Upper limit of 95% confidence interval (CI Upper) and lower limit of 95% confidence interval (CI ...
Experiment 2: Model fit and optimized parameter distributions for the two-state error-scaling non-ne...
(a) τ vs. ε extracted from ten simulation runs with the same parameters on a log-log scale. Power la...
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
<p>3A. The estimated parameter <i>θ</i><sub>1</sub> for the simulated data. 3B. The estimated parame...
<p>Error bars indicate a 95% confidence interval. Error bars in the results plot show a 95% confiden...