A standard view in neuroeconomics is that to make a choice, an agent first assigns subjective values to available options, and then compares them to select the best. In choice tasks, these cardinal values are typically inferred from the preference expressed by subjects between options presented in pairs. Alternatively, cardinal values can be directly elicited by asking subjects to place a cursor on an analog scale (rating task) or to exert a force on a power grip (effort task). These tasks can vary in many respects: they can notably be more or less costly and consequential. Here, we compared the value functions elicited by choice, rating and effort tasks on options composed of two monetary amounts: one for the subject (gain) and one for a c...
The ability to choose rapidly among multiple targets embedded in a complex perceptual environment is...
Neuroeconomics seeks to characterize the computational and neurobiological basis of different types...
Abstract—This paper aims to find an algorithmic structure that affords to predict and explain the ec...
A standard view in neuroeconomics is that to make a choice, an agent first assigns subjective values...
When humans and other animals make decisions in their natural environments prospective rewards have ...
One of the ultimate goals of decision-making research is to identify cognitive processes underlying ...
Most economists and neuroeconomists believe that individuals make choices first by assign-ing values...
Neuroscientific studies reliably demonstrate that rewards play a crucial role in guiding our choices...
Neuroeconomics shares the main goals of microeconomics: to understand what causes choices, and the w...
In this paper we formulate and investigate experimentally a model of how individuals choose between ...
<p>The winning model indicated that cognitive valuation was best fitted by a hyperbolic function and...
Neuroeconomics has found no definitive role in the explanation of consumer choice and its undevelope...
Standard neuroeconomic decision theory assumes that choice is based on a value comparison process, i...
Making choices is a fundamental aspect of human life. For over a century experimental economists hav...
How do people choose between options? At one extreme, the ‘value-first’ view is that the brain compu...
The ability to choose rapidly among multiple targets embedded in a complex perceptual environment is...
Neuroeconomics seeks to characterize the computational and neurobiological basis of different types...
Abstract—This paper aims to find an algorithmic structure that affords to predict and explain the ec...
A standard view in neuroeconomics is that to make a choice, an agent first assigns subjective values...
When humans and other animals make decisions in their natural environments prospective rewards have ...
One of the ultimate goals of decision-making research is to identify cognitive processes underlying ...
Most economists and neuroeconomists believe that individuals make choices first by assign-ing values...
Neuroscientific studies reliably demonstrate that rewards play a crucial role in guiding our choices...
Neuroeconomics shares the main goals of microeconomics: to understand what causes choices, and the w...
In this paper we formulate and investigate experimentally a model of how individuals choose between ...
<p>The winning model indicated that cognitive valuation was best fitted by a hyperbolic function and...
Neuroeconomics has found no definitive role in the explanation of consumer choice and its undevelope...
Standard neuroeconomic decision theory assumes that choice is based on a value comparison process, i...
Making choices is a fundamental aspect of human life. For over a century experimental economists hav...
How do people choose between options? At one extreme, the ‘value-first’ view is that the brain compu...
The ability to choose rapidly among multiple targets embedded in a complex perceptual environment is...
Neuroeconomics seeks to characterize the computational and neurobiological basis of different types...
Abstract—This paper aims to find an algorithmic structure that affords to predict and explain the ec...