A5036792722- Neuroscience and Neuropharmacology Research
- Economic theories and models
- Decision-Making and Behavioral Economics
- Complex Systems and Time Series Analysis
- Receptor Mechanisms and Signaling
- Neural dynamics and brain function
- Photoreceptor and optogenetics research
- Experimental Behavioral Economics Studies
- Neurotransmitter Receptor Influence on Behavior
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Complex Systems and Decision Making
- Mental Health Research Topics
- Housing Market and Economics
Hvidovre Hospital
2016-2021
Copenhagen University Hospital
2016-2021
When gathering valued goods, risk and reward are often coupled escalate over time, for instance, during foraging, trading, or gambling. This escalating frame requires agents to continuously balance expectations of against those risk. To address how the human brain dynamically computes these tradeoffs, we performed whole-brain fMRI while healthy young individuals engaged in a sequential gambling task. Participants were repeatedly confronted with option continue throwing die accumulate...
Abstract Energy homeostasis depends on behavior to predictively regulate metabolic states within narrow bounds. Here we review three theories of homeostatic control and ask how they provide insight into the circuitry underlying energy homeostasis. We offer two contributions. First, detail theory reinforcement learning are applied control. show these schemes rest implausible assumptions; either via circular definitions, unprincipled drive functions, or by ignoring environmental volatility....
Ergodicity describes an equivalence between the expectation value and time average of observables. Applied to human behaviour, ergodic theories decision-making reveal how individuals should tolerate risk in different environments. To optimize wealth over time, agents adapt their utility function according dynamical setting they face. Linear is optimal for additive dynamics, whereas logarithmic multiplicative dynamics. Whether humans approximate behavior across dynamics unknown. Here we...
Phasic dopamine release from mid-brain dopaminergic neurons is thought to signal errors of reward prediction (RPE). If maximisation maintain homeostasis, then the value primary rewards should be coupled homeostatic they remediate. This leads that RPE signals configured as a function state and thus diminish with attenuation error. To test this hypothesis, we collected large volume functional MRI data five human volunteers on four separate days. After fasting for 12 hours, subjects consumed...
Phasic dopamine release from mid-brain dopaminergic neurons signals errors of reward prediction (RPE). If maximisation is to maintain homeostasis, then the value primary rewards should be coupled homeostatic they remediate. This leads that RPE configured as a function state and thus, diminish with attenuation error. To test this hypothesis, we collected large volume functional MRI data five human volunteers on four separate days. After fasting for 12 hours, subjects consumed preloads...
A central prediction within the behavioral sciences asserts that agents are risk-seeking in domain of losses. This rests on experimental evidence did not involve realistic experience Here we tested whether this notion still holds if participants face To end, endowed with over $600 for at least one month and asked them to play gambles real, substantive, consequential losses spanned three orders magnitude. hierarchical Bayesian cognitive model comprising a latent mixture several competing...
Ergodicity describes an equivalence between the expectation value and time average of observables. Applied to human behaviour, ergodic theories decision-making reveal how individuals should tolerate risk in different environments. To optimise wealth over time, agents adapt their utility function according dynamical setting they face. Linear is optimal for additive dynamics, whereas logarithmic multiplicative dynamics. Whether humans approximate behavior across dynamics unknown. Here we...