Motivation is a process critical for the survival of organisms, directing and invigorating behavior. Recent human and animal studies have revealed that processing information about costs and benefits is important to adaptive goal-directed behavior, suggesting that cost-benefit decision making plays a crucial role in influencing motivated behavior. Current behavioral tasks which assay cost-benefit decision making often measure willingness to expend effort, but also manipulate reward value simultaneously. To study the distinct roles of effort and value, we develop two tasks in which we offered subjects either a choice between different types of work or a choice between different reward values. By giving subjects a choice between types of work...
Inordertoinvestigaterolesofdopaminereceptorsubtypesinreward-basedlearning,weexaminedchoicebehaviorof...
Thesis (Ph.D.)--University of Washington, 2015Real-world decisions frequently involve tradeoffs betw...
Brain mechanisms for reinforcement learning and adaptive decision-making are widely accepted to crit...
Operant behavior is not only regulated by factors related to the quality or quantity of reinforcemen...
Rationale: Optimal decision-making necessitates evaluation of multiple rewards that are each offset ...
The major objective of the present research was to characterize the underlying mechanisms of effort-...
Optimal decision making requires that organisms correctly evaluate both the costs and benefits of po...
Dopamine has been implicated in value-based learning and decision making by signaling reward predict...
RATIONALE: Throughout our lives we constantly assess the costs and benefits of the possible future o...
Being able identify decreases in resource availability and alter motivated behavior accordingly is e...
Reward follows work, but with finite energy, all life must decide what reward is worth the work. Eco...
Mesolimbic dopamine (DA), particularly in the nucleus accumbens, is a critical component of the brai...
It has been widely accepted that dopamine (DA) plays a major role in motivation, yet the specific co...
Choosing adaptively among candidate actions requires a cost-benefit analysis, in which potential re...
Catorzenes Jornades de Foment de la Investigació de la FCHS (Any 2008-2009)Humans and animals realiz...
Inordertoinvestigaterolesofdopaminereceptorsubtypesinreward-basedlearning,weexaminedchoicebehaviorof...
Thesis (Ph.D.)--University of Washington, 2015Real-world decisions frequently involve tradeoffs betw...
Brain mechanisms for reinforcement learning and adaptive decision-making are widely accepted to crit...
Operant behavior is not only regulated by factors related to the quality or quantity of reinforcemen...
Rationale: Optimal decision-making necessitates evaluation of multiple rewards that are each offset ...
The major objective of the present research was to characterize the underlying mechanisms of effort-...
Optimal decision making requires that organisms correctly evaluate both the costs and benefits of po...
Dopamine has been implicated in value-based learning and decision making by signaling reward predict...
RATIONALE: Throughout our lives we constantly assess the costs and benefits of the possible future o...
Being able identify decreases in resource availability and alter motivated behavior accordingly is e...
Reward follows work, but with finite energy, all life must decide what reward is worth the work. Eco...
Mesolimbic dopamine (DA), particularly in the nucleus accumbens, is a critical component of the brai...
It has been widely accepted that dopamine (DA) plays a major role in motivation, yet the specific co...
Choosing adaptively among candidate actions requires a cost-benefit analysis, in which potential re...
Catorzenes Jornades de Foment de la Investigació de la FCHS (Any 2008-2009)Humans and animals realiz...
Inordertoinvestigaterolesofdopaminereceptorsubtypesinreward-basedlearning,weexaminedchoicebehaviorof...
Thesis (Ph.D.)--University of Washington, 2015Real-world decisions frequently involve tradeoffs betw...
Brain mechanisms for reinforcement learning and adaptive decision-making are widely accepted to crit...