<p><b>A</b>. The drift-diffusion model (DDM) assumes an accumulation process, until the evidence reaches a decision threshold. An increase of drift rate causes faster and more correct choices (red arrow). Non-decision time reflects the time other then the decision time (e.g. process sensory information and execute a motor response). <b>B</b>. Change in reaction time (RT) explained by drift rate (<i>v</i>) and non-decision time (<i>T<sub>er</sub></i>) for validly (blue) and invalidly (grey) cued trials compared to the baseline (uncued) RT. <b>C</b>. Time course for drift rate (<i>v</i>), showing the percentage increase from the baseline drift rate for validly (red) and invalidly (grey) cued trials. <b>D</b>. Time course for the percentage ch...
Processing speed is a crucial ability that changes over the course of the lifespan. Training interve...
Models of decision making differ in how they treat early evidence as it recedes in time. Standard mo...
Sequential sampling models such as the drift diffusion model (DDM) have a long tradition in research...
International audienceWe designed a two-alternative forced choice experiment in which the by-trial r...
Drift-diffusion models or DDMs are becoming a standard in the field of computational neuroscience. T...
<p>The two schematics shown here represent a subset of trials selected from hypothetical results for...
International audienceThe latent psychological mechanisms involved in decision-making are often stud...
Abstract The drift diffusion model (DDM) is a widely applied computational model of decision making ...
<p>The vertical axis represents the accumulation of sensory information. The nondecision time, <i>t<...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
Computational models of decision making are becoming increasingly popular to interpret reaction time...
An important open problem is how values are compared to make simple choices. A natural hypothesis is...
Evidence accumulation models like the diffusion model are increasingly used by researchers to identi...
The drift diffusion model (DDM) has been successful in capturing the joint dynamics of accuracy and ...
ABSTRACT The Drift-Diffusion Model (DDM) is widely accepted for two-alternative forced-choice decisi...
Processing speed is a crucial ability that changes over the course of the lifespan. Training interve...
Models of decision making differ in how they treat early evidence as it recedes in time. Standard mo...
Sequential sampling models such as the drift diffusion model (DDM) have a long tradition in research...
International audienceWe designed a two-alternative forced choice experiment in which the by-trial r...
Drift-diffusion models or DDMs are becoming a standard in the field of computational neuroscience. T...
<p>The two schematics shown here represent a subset of trials selected from hypothetical results for...
International audienceThe latent psychological mechanisms involved in decision-making are often stud...
Abstract The drift diffusion model (DDM) is a widely applied computational model of decision making ...
<p>The vertical axis represents the accumulation of sensory information. The nondecision time, <i>t<...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
Computational models of decision making are becoming increasingly popular to interpret reaction time...
An important open problem is how values are compared to make simple choices. A natural hypothesis is...
Evidence accumulation models like the diffusion model are increasingly used by researchers to identi...
The drift diffusion model (DDM) has been successful in capturing the joint dynamics of accuracy and ...
ABSTRACT The Drift-Diffusion Model (DDM) is widely accepted for two-alternative forced-choice decisi...
Processing speed is a crucial ability that changes over the course of the lifespan. Training interve...
Models of decision making differ in how they treat early evidence as it recedes in time. Standard mo...
Sequential sampling models such as the drift diffusion model (DDM) have a long tradition in research...