B. Eppinger

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Better or worse than expected? Aging, learning, and the ERN

B. Eppinger, J. Kray, Barbara Mock, 2008, Neuropsychologia.

Reward speeds up and increases consistency of visual selective attention: a lifespan comparison

Viola S. Störmer, Shu-Chen Li, B. Eppinger, 2014, Cognitive, affective & behavioral neuroscience.

Of goals and habits: age-related and individual differences in goal-directed decision-making

Shu-Chen Li, H. Heekeren, B. Eppinger, 2013, Front. Neurosci..

Electrophysiological correlates reflect the integration of model-based and model-free decision information

Shu-Chen Li, B. Eppinger, Maik Walter, 2017, Cognitive, affective & behavioral neuroscience.

Age differences in attentional control: an event-related potential approach.

Axel Mecklinger, Jutta Kray, Ben Eppinger, 2005, Psychophysiology.

Developmental differences in the neural dynamics of observational learning

Shu-Chen Li, H. Heekeren, B. Eppinger, 2018, Neuropsychologia.

Reduced Striatal Responses to Reward Prediction Errors in Older Compared with Younger Adults

Nicolas W. Schuck, Jonathan D. Cohen, L. Nystrom, 2013, The Journal of Neuroscience.

Dopaminergic and prefrontal contributions to reward-based learning and outcome monitoring during child development and aging.

D. Hämmerer, B. Eppinger, Ben Eppinger, 2012, Developmental psychology.

Neuromodulation of reward‐based learning and decision making in human aging

Shu-Chen Li, D. Hämmerer, B. Eppinger, 2011, Annals of the New York Academy of Sciences.

Age Differences in the Neural Mechanisms of Intertemporal Choice Under Subjective Decision Conflict

Shu-Chen Li, H. Heekeren, B. Eppinger, 2018, Cerebral cortex.

Shu-Chen Li, H. Heekeren, B. Eppinger, 2015, Neurobiology of Aging.

Reduced Sensitivity to Immediate Reward during Decision-Making in Older than Younger Adults

Jonathan D. Cohen, L. Nystrom, B. Eppinger, 2012, PloS one.

Developing developmental cognitive neuroscience: From agenda setting to hypothesis testing

B. Eppinger, W. van den Bos, Ben Eppinger, 2015, Developmental Cognitive Neuroscience.

Metacontrol of decision-making strategies in human aging

Wouter Kool, A. Reiter, B. Eppinger, 2019, eLife.

Developmental Changes in Learning: Computational Mechanisms and Social Influences

A. Reiter, B. Eppinger, F. Bolenz, 2017, Front. Psychol..

L-DOPA Reduces Model-Free Control of Behavior by Attenuating the Transfer of Value to Action

B. Eppinger, T. Goschke, M. Smolka, 2016, bioRxiv.

Electrophysiological correlates of observational learning in children.

Ben Eppinger, Nicolas W. Schuck, Nicolas W Schuck, 2016, Developmental science.

Default beliefs guide learning under uncertainty in children and older adults

M. Nassar, Shu-Chen Li, B. Eppinger, 2020 .

Changes in the Prevalence of Thin Bodies Bias Young Women’s Judgments About Body Size

B. Eppinger, S. Ehrlich, Nathalie Germain, 2021, Psychological science.

Need for cognition does not account for individual differences in metacontrol of decision making

B. Eppinger, A. Strobel, F. Bolenz, 2020, Scientific Reports.

Human ageing is associated with more rigid concept spaces

B. Eppinger, S. Devine, D. Levari, 2020, Psychonomic Bulletin & Review.

Repetitive transcranial magnetic stimulation over dorsolateral prefrontal cortex modulates value-based learning during sequential decision-making

Franziska M. Korb, Shu-Chen Li, Ben Eppinger, 2018, NeuroImage.

Neural evidence for age-related deficits in the representation of state spaces.

Ben Eppinger, Adrian G. Fischer, Shu-Chen Li, 2021, Cerebral cortex.

Age differences in task switching and response monitoring: Evidence from ERPs

Axel Mecklinger, Oliver John, Jutta Kray, 2007, Biological Psychology.

To Choose or to Avoid: Age Differences in Learning from Positive and Negative Feedback

Jutta Kray, Ben Eppinger, B. Eppinger, 2011, Journal of Cognitive Neuroscience.

Human aging alters social inference about others’ changing intentions

Shu-Chen Li, A. Reiter, B. Eppinger, 2021, Neurobiology of Aging.

Meta-control: From psychology to computational neuroscience

Sebastian Musslick, Thomas Goschke, Ben Eppinger, 2021, Cognitive, Affective, & Behavioral Neuroscience.

Valence bias in metacontrol of decision making in adolescents and young adults.

B. Eppinger, F. Bolenz, 2021, Child development.

Valence bias in metacontrol of decision making in adolescents and young adults.

B. Eppinger, F. Bolenz, Florian Bolenz, 2020, Child development.

We remember the good things: Age differences in learning and memory

Jutta Kray, Ben Eppinger, B. Eppinger, 2010, Neurobiology of Learning and Memory.

Developmental differences in learning and error processing: evidence from ERPs.

Jutta Kray, Ben Eppinger, B. Eppinger, 2009, Psychophysiology.

A Life-span View on Learning and Error Processing

Benjamin Eppinger, B. Eppinger, Ben Eppinger, 2008 .

Risk contagion by peers affects learning and decision-making in adolescents.

Shu-Chen Li, Shinsuke Suzuki, A. Reiter, 2019, Journal of experimental psychology. General.

L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action

Shakoor Pooseh, Michael N. Smolka, Nils B. Kroemer, 2016, NeuroImage.

The Aging of the Social Mind - Differential Effects on Components of Social Understanding

Shu-Chen Li, A. Reiter, B. Eppinger, 2017, Scientific Reports.

Effects of associative learning on age differences in task-set switching.

B. Eppinger, J. Kray, Ben Eppinger, 2006, Acta psychologica.

An ERP-Approach to Study Age Differences in Cognitive Control Processes

Jutta Kray, Ben Eppinger, B. Eppinger, 2011, Resource-Adaptive Cognitive Processes.

Seizing the opportunity: Lifespan differences in the effects of the opportunity cost of time on cognitive control

A. R. Otto, A. Reiter, B. Eppinger, 2021, Cognition.

Resource-rational approach to meta-control problems across the lifespan.

B. Eppinger, S. Devine, Alexa Ruel, 2021, Wiley interdisciplinary reviews. Cognitive science.

Age differences in learning emerge from an insufficient representation of uncertainty in older adults

Matthew R Nassar, Rasmus Bruckner, Ben Eppinger, 2016, Nature Communications.

Prevalence-Induced Concept Change in Older Adults

B. Eppinger, S. Devine, D. Levari, 2020, CogSci.

Differences in adaptive learning across the lifespan are driven by satisficing

M. Nassar, Shu-Chen Li, B. Eppinger, 2021 .

What do we GANE with age?

M. Nassar, B. Eppinger, R. Bruckner, 2016, Behavioral and Brain Sciences.

Towards a Mechanistic Understanding of Age-Related Changes in Learning and Decision Making: A Neuro-Computational Approach

B. Eppinger, R. Bruckner, Ben Eppinger, 2015 .

Reward speeds up and increases consistency of visual selective attention: a lifespan comparison

Viola S. Störmer, Shu-Chen Li, B. Eppinger, 2014, Cognitive, Affective, & Behavioral Neuroscience.

Computational neuroscience across the lifespan: Promises and pitfalls

M. Nassar, R. Mata, B. Eppinger, 2017, Developmental Cognitive Neuroscience.

Younger but Not Older Adults Benefit from Salient Feedback during Learning

B. Eppinger, J. Kray, Michael Herbert, 2011, Front. Psychology.

Human ageing is associated with more rigid concept spaces

B. Eppinger, S. Devine, David E. Levari, 2022, Psychonomic Bulletin & Review.

Meta-control: From psychology to computational neuroscience

Sebastian Musslick, B. Eppinger, T. Goschke, 2021, Cognitive, Affective, & Behavioral Neuroscience.

Resource-rational approach to meta-control problems across the lifespan.

B. Eppinger, S. Devine, Alexa Ruel, 2020, Wiley interdisciplinary reviews. Cognitive science.