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Open access Sep 2026

Older Adults Forage Broadly for Information Despite Cost

Healthy aging has long been associated with impairments in learning from rewards. However, typical paradigms do not adequately distinguish between being motivated by information to learn about the world and being motivated by rewarding outcomes from our decisions. The present study describes how these distinct motivati...

Abigail Hedden, David L. Barack, Akram Bakkour · 0 citations
Preprint Aug 2026

Evolutionary Recurrent Decision Model in Developing Adaptive and Maladaptive Behaviors

The results suggest that many psychopathology-relevant aspects may be interpreted as bounded cognitive systems operating under modern-ancestral environmental mismatch, positioning ERDM as a key computational cognitive tool that can be extended to other studies.

Andrew Hu · 0 citations
Open access Aug 2026

Low-dimensional factorized neural computations underlie risk-adaptive choices

Real-world decision-making rarely occurs with perfect information. Instead, individuals must constantly weigh potential rewards against the probability of adverse outcomes.1 Failures of this process can lead to maladaptive decisions associated with reduced lifetime success, and numerous psychiatric disorders such as ga...

T. Price, A. Liu, Rhiannon L. Cowan et al. · 0 citations
Open access Sep 2026

Mice adapt their learning rate to stochasticity and volatility through a simple heuristic

Learning from outcomes requires weighing each surprise by how much it is likely to mean. Two properties of the environment set that weight in opposite directions: volatility, the rate at which contingencies change, and stochasticity, the noise in outcomes around a stable contingency. Whether animals separate the two is...

Coline Chevallier, Juan Cobos, Emma Debos et al. · 0 citations
Open access Oct 2026

Rethinking Impulsivity in Consumer Behavior: An Adaptive Learning Perspective

Impulsive consumption is often interpreted as self‐control failure. This study examines whether impulsive choice can also arise as an adaptive exploration strategy under uncertainty. Methodologically, the study uses agent‐based computational simulation, formalizing sequential consumer decisions as a Markov decision p...

Meng-Jiao Yin · 0 citations
Open access Sep 2026

Neural dynamics of confidence formation under uncertainty

Our perceptual decision-making can vary depending not only on changes in the surrounding environment but also on metacognitive processes. In particular, the balance between confidence and uncertainty may play a critical role in shaping behavior and the underlying neural dynamics over time, yet how this balance operates...

Tomoya Okaguchi, Kazumasa Uehara · 0 citations

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