Abstract Background Previous research has reported or predicted, on the basis of theoretical and computational work, magnitude sensitive reaction times. Magnitude sensitivity can arise (1) as a function of single-trial dynamics and/or (2) as recent computational work has suggested, while single-trial dynamics may be magnitude insensitive, magnitude sensitivity could arise as a function of overall reward received which in turn affects the speed at which decision boundaries collapse, allowing faster responses as the overall reward received increases. Results Here, we review previous theoretical and empirical results and we present new evidence for magnitude sensitivity arising as a function of single-trial dynamics. Conclusions The result of ...
Simulation parameters were: prior mean and variance , observation noise variance , temporal cost γ ...
When making decisions humans often violate the principles of rational choice theory. Recent experime...
<p>In the biased competition model, speed and accuracy can be manipulated in two independent ways — ...
International audienceOptimality analysis of value-based decisions in binary and multi-alternative c...
Modelling plays a key role in explaining data in psychology and neuroscience and helps elucidate neu...
Choices in value-based decision making are affected by the magnitude of the alternatives (i.e. the s...
AbstractRecent work has derived the optimal policy for two-alternative value-based decisions, in whi...
Magnitude-sensitivity refers to the result that performance in decision-making, across domains and o...
Recent work has derived the optimal policy for two-alternative value-based decisions, in which decis...
Weber’s law is the canonical scale-invariance law in psychology: when the intensities of 2 stimuli a...
We theoretically study decision-making behaviour in a model-based analysis related to binary choices...
Simulation parameters were: prior mean and variance , observation noise variance , temporal cost γ ...
Simulation parameters were: prior mean and variance , observation noise variance , temporal cost γ ...
When making decisions humans often violate the principles of rational choice theory. Recent experime...
<p>In the biased competition model, speed and accuracy can be manipulated in two independent ways — ...
International audienceOptimality analysis of value-based decisions in binary and multi-alternative c...
Modelling plays a key role in explaining data in psychology and neuroscience and helps elucidate neu...
Choices in value-based decision making are affected by the magnitude of the alternatives (i.e. the s...
AbstractRecent work has derived the optimal policy for two-alternative value-based decisions, in whi...
Magnitude-sensitivity refers to the result that performance in decision-making, across domains and o...
Recent work has derived the optimal policy for two-alternative value-based decisions, in which decis...
Weber’s law is the canonical scale-invariance law in psychology: when the intensities of 2 stimuli a...
We theoretically study decision-making behaviour in a model-based analysis related to binary choices...
Simulation parameters were: prior mean and variance , observation noise variance , temporal cost γ ...
Simulation parameters were: prior mean and variance , observation noise variance , temporal cost γ ...
When making decisions humans often violate the principles of rational choice theory. Recent experime...
<p>In the biased competition model, speed and accuracy can be manipulated in two independent ways — ...