<p>Data are presented separately for low and high coherence trials (integration conditions), and arrows and signal detection trials (non-integration conditions). The last column indicates the average number of trials in each of the conditions. Parameters that do not vary between conditions are indicated with a dash (-). Our scaling of the threshold parameter adheres to the Ratcliff convention according to which one of the decision thresholds is placed at zero, and the other decision threshold at the value represented by the decision threshold parameter.</p
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
<p>The top panels have examples of different threshold levels. Note how the reaching gradient gets w...
<p>Fit of the threshold, onset, starting-point variability and non-decision time (TONS_2221) model t...
<p>Fits were done separately for each of the response bias conditions. Only the starting point is al...
DIC is a complexity-penalized measure of model fit, DIC = D(θ) + pD, where D(θ) is the deviance of m...
All models included evidence-acculumulation and starting-point bias terms to account for idiosyncrat...
<p>Experimentally measured DTs (red circles) are well described by the DDM with leaky integration (b...
A Fits of the full rule-based DDM to two example subjects’ RT data. B Fits of the full stimulus-base...
Parameters of the best model fits to the thresholds of 8 Hz and 16 Hz stimuli.</p
Parameters of the best straight-line fitted to the thresholds of the MB stimuli.</p
A: ΔDIC scores, showing the relative goodness-of-fit of all single- and dual-parameter DDMs consider...
<p>Mean results for the eccentric discrimination thresholds together with standard errors are shown ...
All the models included here have their drift-rate modulated by the cumulative sum of rewards, while...
A DDM fits to the rule-based condition for the base model, with no bias terms (dashed lines; note th...
Each color identifies a different condition, and color shading identifies the envelope type. Dots re...
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
<p>The top panels have examples of different threshold levels. Note how the reaching gradient gets w...
<p>Fit of the threshold, onset, starting-point variability and non-decision time (TONS_2221) model t...
<p>Fits were done separately for each of the response bias conditions. Only the starting point is al...
DIC is a complexity-penalized measure of model fit, DIC = D(θ) + pD, where D(θ) is the deviance of m...
All models included evidence-acculumulation and starting-point bias terms to account for idiosyncrat...
<p>Experimentally measured DTs (red circles) are well described by the DDM with leaky integration (b...
A Fits of the full rule-based DDM to two example subjects’ RT data. B Fits of the full stimulus-base...
Parameters of the best model fits to the thresholds of 8 Hz and 16 Hz stimuli.</p
Parameters of the best straight-line fitted to the thresholds of the MB stimuli.</p
A: ΔDIC scores, showing the relative goodness-of-fit of all single- and dual-parameter DDMs consider...
<p>Mean results for the eccentric discrimination thresholds together with standard errors are shown ...
All the models included here have their drift-rate modulated by the cumulative sum of rewards, while...
A DDM fits to the rule-based condition for the base model, with no bias terms (dashed lines; note th...
Each color identifies a different condition, and color shading identifies the envelope type. Dots re...
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
<p>The top panels have examples of different threshold levels. Note how the reaching gradient gets w...
<p>Fit of the threshold, onset, starting-point variability and non-decision time (TONS_2221) model t...