Error-scaling model variants in blue. Retention-scaling variants in orange. Bias-scaling variants in green. State-aim variants in red. Output-aim variants in purple. Opacity indicate model sub-type: Non-negative two-state models have 100% opacity. Two-state models have 50% opacity and one-state models have 25% opacity. Error-bars represent 95% confidence intervals.</p
Experiment 2: Model fit and optimized parameter distributions for the two-state bias-scaling non-neg...
<p>Red error bar: standard error of the linear regression fit (represents goodness of linear fit). B...
<p>Graphs a-g: Black dots show the empirical estimates, and the error bars show the plausible ranges...
<p>Model 2 has the highest BIC score in both experiments, with the most significant gains in both co...
<p>The BIC scores of the models are shown as dots, and the pDAGs of the models themselves are plott...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Error bars represent ±1 s.e.m. across 11 subjects. Shaded regions represent ±1 s.e.m. on model fits....
Four major models of Bicoid gradient generation are shown. An experiment that supports or falsifies ...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
<p>(A) Task conditions. (B) and (C) Learning curves as a function of the task conditions in Experime...
(A) Comparison of the Bayesian information criterion (BIC) relative to the baseline model. Negative ...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
<p>For all graphs from left to right, first for LaccGluc followed by LaccPost. <b>a.</b> QMEAN distr...
Experiment 1: Model fit and optimized parameter distributions for the two-state bias-scaling non-neg...
<p>White bars reflect the predictive / lagged model, grey bars reflect the temporal proximity / caus...
Experiment 2: Model fit and optimized parameter distributions for the two-state bias-scaling non-neg...
<p>Red error bar: standard error of the linear regression fit (represents goodness of linear fit). B...
<p>Graphs a-g: Black dots show the empirical estimates, and the error bars show the plausible ranges...
<p>Model 2 has the highest BIC score in both experiments, with the most significant gains in both co...
<p>The BIC scores of the models are shown as dots, and the pDAGs of the models themselves are plott...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Error bars represent ±1 s.e.m. across 11 subjects. Shaded regions represent ±1 s.e.m. on model fits....
Four major models of Bicoid gradient generation are shown. An experiment that supports or falsifies ...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
<p>(A) Task conditions. (B) and (C) Learning curves as a function of the task conditions in Experime...
(A) Comparison of the Bayesian information criterion (BIC) relative to the baseline model. Negative ...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
<p>For all graphs from left to right, first for LaccGluc followed by LaccPost. <b>a.</b> QMEAN distr...
Experiment 1: Model fit and optimized parameter distributions for the two-state bias-scaling non-neg...
<p>White bars reflect the predictive / lagged model, grey bars reflect the temporal proximity / caus...
Experiment 2: Model fit and optimized parameter distributions for the two-state bias-scaling non-neg...
<p>Red error bar: standard error of the linear regression fit (represents goodness of linear fit). B...
<p>Graphs a-g: Black dots show the empirical estimates, and the error bars show the plausible ranges...