Author(s): van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B;

In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot be directly observed from behavior. In combination with experimental manipulations, these latent variables c ...

Article GUID: 29066078

Author(s): Rodriguez Buritica JM; Heekeren HR; Li SC; Eppinger B;

Learning from vicarious experience is central for educational practice, but not well understood with respect to its ontogenetic development and underlying neural dynamics. In this age-comparative study we compared behavioral and electrophysiological markers of learning from vicarious and one's own experience in children (age 8-10) and young adults. Be ...

Article GUID: 30036542

Author(s): Rodriguez Buritica JM; Eppinger B; Heekeren HR; Crone EA; van Duijvenvoorde ACK;

Observational learning is essential for the acquisition of new behavior in educational practices and daily life and serves as an important mechanism for human cognitive and social-emotional development. However, we know little about its underlying neurocomputational mechanisms from a developmental perspective. In this study we used model-based fMRI to inv ...

Article GUID: 38480747

Author(s): Devine S; Neumann C; Levari D; Eppinger B;

Prevalence-induced concept change describes a cognitive mechanism by which someone's definition of a concept shifts as the prevalence of instances of that concept changes. While this phenomenon has been established in young adults, it is unclear how it affects older adults. In this study, we explore how prevalence-induced concept change affects older ...

Article GUID: 36253591

Author(s): Bolenz F; Profitt MF; Stechbarth F; Eppinger B; Strobel A;

Humans show metacontrol of decision making, that is they adapt their reliance on decision-making strategies toward situational differences such as differences in reward magnitude. Specifically, when higher rewards are at stake, individuals increase reliance on a more accurate but cognitively effortful strategy. We investigated whether the personality trai ...

Article GUID: 35581395

Author(s): Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B;

Under high cognitive demands, older adults tend to resort to simpler, habitual, or model-free decision strategies. This age-related shift in decision behavior has been attributed to deficits in the representation of the cognitive maps, or state spaces, necessary for more complex model-based decision-making. Yet, the neural mechanisms behind this shift rem ...

Article GUID: 35510942

Author(s): Bolenz F; Eppinger B;

The development of metacontrol of decision making and its susceptibility to framing effects were investigated in a sample of 201 adolescents and adults in Germany (12-25 years, 111 female, ethnicity not recorded). In a task that dissociates model-free and model-based decision making, outcome magnitude and outcome valence were manipulated. Both adolescents ...

Article GUID: 34655226

Author(s): Devine S; Neumann C; Otto AR; Bolenz F; Reiter A; Eppinger B;

Previous work suggests that lifespan developmental differences in cognitive control reflect maturational and aging-related changes in prefrontal cortex functioning. However, complementary explanations exist: It could be that children and older adults differ from younger adults in how they balance the effort of engaging in control against its potential ben ...

Article GUID: 34384965

Author(s): Eppinger B; Goschke T; Musslick S;

Research in the past decades shed light on the different mechanisms that underlie our capacity for cognitive control. However, the meta-level processes that regulate cognitive control itself remain poorly understood. Following the terminology from artificial intelligence, meta-control can be defined as a collection of mechanisms that (a) monitor the progr ...

Article GUID: 34081267

Author(s): Ruel A; Devine S; Eppinger B;

Over the last decade, research on cognitive control and decision-making has revealed that individuals weigh the costs and benefits of engaging in or refraining from control and that whether and how they engage in these cost-benefit analyses may change across development and during healthy aging. In the present article, we examine how lifespan age differen ...

Article GUID: 33590729

Author(s): Bolenz F, Kool W, Reiter AM, Eppinger B

Elife. 2019 Aug 09;8: Authors: Bolenz F, Kool W, Reiter AM, Eppinger B

Article GUID: 31397670