<p>Drift rates of the DDM were obtained for the SN weight classes of each stimulus category, and image difficulty was defined as the mean logarithmic decision time over subjects (see main text).</p
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
<p>Relationship between DCQ score and mean accuracy rates (%) of upright body stimuli discrimination...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
<p><b>A</b>. The drift-diffusion model (DDM) assumes an accumulation process, until the evidence rea...
<p>Drift rate of each subject was estimated for each class of the SN weight (see <a href="http://www...
<p>The two schematics shown here represent a subset of trials selected from hypothetical results for...
Abstract The drift diffusion model (DDM) is a widely applied computational model of decision making ...
<p>(A) Latency–probability functions (see main text for explanation) of two typical subjects. Mean R...
The HDDM models decision making under two-option conditions; the options here were executing a sacca...
<p>We simulated a task with varying difficulty given by a diffusion model with a drift rate whose ma...
<div><p>The Error bars indicate SDs from which between-subjects variance has been removed [<a href="...
An important open problem is how values are compared to make simple choices. A natural hypothesis is...
A strong linear relationship (R2>0.98) was found between the movement time and index of difficulty.<...
International audienceWe designed a two-alternative forced choice experiment in which the by-trial r...
A: ΔDIC scores, showing the relative goodness-of-fit of all single- and dual-parameter DDMs consider...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
<p>Relationship between DCQ score and mean accuracy rates (%) of upright body stimuli discrimination...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
<p><b>A</b>. The drift-diffusion model (DDM) assumes an accumulation process, until the evidence rea...
<p>Drift rate of each subject was estimated for each class of the SN weight (see <a href="http://www...
<p>The two schematics shown here represent a subset of trials selected from hypothetical results for...
Abstract The drift diffusion model (DDM) is a widely applied computational model of decision making ...
<p>(A) Latency–probability functions (see main text for explanation) of two typical subjects. Mean R...
The HDDM models decision making under two-option conditions; the options here were executing a sacca...
<p>We simulated a task with varying difficulty given by a diffusion model with a drift rate whose ma...
<div><p>The Error bars indicate SDs from which between-subjects variance has been removed [<a href="...
An important open problem is how values are compared to make simple choices. A natural hypothesis is...
A strong linear relationship (R2>0.98) was found between the movement time and index of difficulty.<...
International audienceWe designed a two-alternative forced choice experiment in which the by-trial r...
A: ΔDIC scores, showing the relative goodness-of-fit of all single- and dual-parameter DDMs consider...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
<p>Relationship between DCQ score and mean accuracy rates (%) of upright body stimuli discrimination...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
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