Decision-Making and Behavioral Economics

Accumulation of virtual tokens towards a jackpot reward enhances performance and value encoding in dorsal anterior cingulate cortex

This study shows that accumulating tokens toward a jackpot reward improves decision-making accuracy and speed in macaques, with neural activity in dACC reflecting reference-dependent value encoding.

Choice-induced preference change under a sequential-sampling model framework

This paper extends the drift-diffusion model to account for choice-induced preference change by incorporating attribute variability during decision-making.

Human decision-makers terminate evidence accumulation using flexible decision rules

This study examines how humans use flexible decision rules to terminate evidence accumulation, finding that participants adjust their strategies to improve reward rate under varying conditions.

A Novel Approach-Avoidance Task to Study Decision Making Under Outcome Uncertainty

This paper introduces a novel task to study decision-making under outcome uncertainty and uses computational models to analyze how people balance approach and avoidance behaviors.

Asymmetric Reinforcement Learning Explains Human Choice Patterns in Decision-making Under Risk

This study shows that an asymmetric reinforcement learning model better explains human decision-making under risk than symmetric models.

Non-invasive brain stimulation biases temporal value-aversiveness computations and promotes sustainable decision-making

This study uses non-invasive brain stimulation to shift decision-making toward sustainability by altering value-aversiveness computations.

Effects of Cognitive Demand Reduction on Choice Overload

This study examines if reducing cognitive demand alleviates choice overload, finding that while decisions are faster under low demand, performance does not improve with larger option sets.

Compression Efficiency and Structural Learning as a Computational Model of DLN Cognitive Stages

The paper evaluates a computational model of cognitive stages using a bandit-like simulation, showing Network policies outperform Linear policies in utility with shared latent structures.

The Rational Irrational: Better Learners Show Stronger Frequency Heuristics

The study finds that better learners exhibit stronger frequency-based biases in decision-making under reward frequency manipulations, suggesting frequency effects may be adaptive strategies rather than flaws.

Perceptual Decoys Do Not Reliably Bias Choice: Boundary-Condition Evidence

This study tests if a perceptual decoy effect generalizes to humans but finds no reliable effect, with some accuracy improvements and response time differences.

Rhesus macaque choices reveal that ambiguity aversion is driven by pessimistic probability estimates.

This study shows rhesus macaques exhibit ambiguity aversion due to inconsistent probability estimates, being overly pessimistic for large rewards and overly optimistic for small ones.

Theta and beta account for the two-impacted components of social influence on risk decision-making

The paper examines how social influence affects risk decision-making by identifying two distinct neural components linked to value computation and choice bias.

Environmental dynamics impact whether matching is optimal

The paper analyzes how environmental dynamics affect the optimality of matching behavior in foraging scenarios.

Blaming Luck, Claiming Skill: Self-Attribution Bias in Error Assignment

The paper investigates self-attribution bias in error assignment using a visuomotor task, finding that participants credit successes to skill and blame failures on luck, influenced by distorted self-perception and positivity bias.

Risky Choices After Frontal Brain Injury: Differential Effects in Self vs Other-Decision Contexts

This study examines how frontal lobe damage affects risky decision-making in self vs other contexts, finding altered utility and probability processing in patients.

Neural Dynamics of Multiattribute Decision Making Under Choice Overload

This study investigates how choice overload affects neural mechanisms in multiattribute decision making, finding inverse U-shaped DLPFC activity and linear ACC activity with choice set size.

Trying to be unpredictable even against unobserved opponents shifts humans away from randomness but not from human predictability

The paper shows that humans generate sequences to evade prediction, but these sequences remain predictable due to biases in how people estimate others' predictions.

Generalizing Drift Diffusion Models with a State-Dependent Framework

This paper introduces a state-dependent framework for drift diffusion models to better capture sequential decision-making in natural environments.

Acute stress reduces risk-aversion by changing magnitude perception

This paper shows acute stress reduces risk-aversion by altering magnitude perception, as evidenced by behavioral and neural changes in payoff valuation.

Rats pursue food and leisure following the same rational principles

This study shows rats balance food and leisure by adjusting their time allocation based on switching costs, following rational decision-making principles similar to foraging models.

Explicit memory representations in decisions from experience

The paper tests whether people use explicit memory of past outcomes in experience-based decisions, finding that ignoring specific outcomes changes preferences, suggesting reliance on episodic memory rather than incremental reinforcement.

Ghrelin and risky decision-making: No credible evidence for homeostatic state modulation of neural or behavioural effects

This study investigates whether ghrelin modulates risky decision-making through homeostatic state changes but finds no credible effects on behavior or neural activity.

Humans use a dual policy to improve inferences during epistemic information seeking

The paper shows humans use a two-stage strategy for epistemic information seeking, combining streaking and uncertainty-guided exploration to improve inference accuracy.

Policy shaping based on the learned preferences of others accounts for risky decision-making under social observation

The paper investigates how observing others' choices affects decision-making, finding that individuals simulate others' preferences and adjust their decisions accordingly, with neural correlates in the TPJ and dmPFC.

Probability weighting arises from boundary repulsions of cognitive noise

The paper shows probability weighting arises from cognitive noise repelled by probability boundaries, confirmed through experiments on risky choice and perception.

Change-of-mind neuroeconomic decision-making is modulated by LINC00473 in medial prefrontal cortex in a sex-dependent manner

This study shows LINC00473 in mPFC modulates sex-dependent change-of-mind behavior in mice by affecting value caching and mistake weighting in a neuroeconomic task.

Humans adapt rationally to approximate estimates of uncertainty

This study shows humans adapt to volatility but not noise, with imprecise noise estimates leading to misattribution as volatility.

Quantitative Economon Model of Transactions for Drugs and Other Commodities

The paper develops a quantitative model of transactions between buyers and suppliers for drugs and other commodities, showing how transaction rates vary with deprivation and satiation effects.

Cognitive Computational Model Reveals Repetition Bias in a Sequential Decision-Making Task

The paper presents a computational model showing repetition bias in human sequential decision-making, finding that choice frequency influences decisions alongside reward seeking.

Computational basis of hierarchical and counterfactual information processing

This study investigates how humans solve complex decision problems by combining hierarchical and counterfactual reasoning, finding that these strategies are computationally rational under specific constraints.