Publications

2021

Devine, S., Germain, N., Ehrlich, S., & Eppinger, B. (2021, July 12; Under Review). Changes in The Prevalence Of Thin Bodies Biases Young Womens’ Judgements about Body Size PsyArXiv, https://doi.org/10.31234/osf.io/nur5k

Devine, S., Neumann, C., Otto, A. R., Bolenz, F., Reiter, A., & Eppinger, B. (2021). Seizing the opportunity: Lifespan differences in the effects of the opportunity cost of time on cognitive control. Cognition216. https://doi.org/10.1016/j.cognition.2021.104863 [pdf]

Eppinger, B., Goschke, T., & Musslick, S. (2021). Meta-control: From psychology to computational neuroscience. Cognitive, affective & behavioral neuroscience, 21(3), 447–452. https://doi.org/10.3758/s13415-021-00919-4 [pdf]

Reiter, A. M., Diaconescu, A. O., Eppinger, B., & Li, S. C. (2021). Human aging alters social inference about others’ changing intentions. Neurobiology of Aging, 103, 98–108. https://doi.org/10.1016/j.neurobiolaging.2021.01.034 [pdf]

Ruel, A., Devine, S., & Eppinger, B. (2021). Resource-rational approach to meta-control problems across the lifespan. Wiley interdisciplinary reviews. Cognitive science, e1556. Advance online publication. https://doi.org/10.1002/wcs.1556 [pdf]

Ruel, A., Bolenz, F., Li, S., Fischer, A. G., & Eppinger, B. (2021, April 23; Under Review). Neural evidence for age-related deficits in the representation of state spaces. PsyArXiv, https://doi.org/10.31234/osf.io/nh5u7

2020

Bolenz, F., Profitt, M. F., Stechbarth, F., Eppinger, B., & Strobel, A. (2020, June 10; Under Review). Need for cognition does not account for individual differences in metacontrol of decision making. PsyArXiv, https://doi.org/10.31234/osf.io/d7y4w

Bolenz F, Eppinger, B. (2020, October 7; Submission) Valence bias in metacontrol of decision making in adolescents and young adults. PsyArXiv, https://doi.org/10.31234/osf.io/5u9jq

Bruckner, R., Nassar, M. R., Li, S., & Eppinger, B. (2020, July 29; Under Review). Differences in adaptive learning across the lifespan are driven by satisficing. PsyArXiv, https://doi.org/10.31234/osf.io/nh9bq

Devine, S., Neumann, C., Levari, D., Wilson, R. C., & Eppinger, B. (2020, July 27; Under Review). Human ageing is associated with more rigid concept spaces. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society., https://doi.org/10.31234/osf.io/uhcp7 [pdf]

2019

Bolenz, F., Kool, W., Reiter, A. M., & Eppinger, B. (2019). Metacontrol of decision-making strategies in human aging. eLife, 8, e49154. https://doi.org/10.7554/eLife.49154 [pdf]

Devine, S., Otto, A. R., Bolenz, F., Reiter, A. M., & Eppinger, B. (2019, December 9; Under Review). Cognitive resource limitations shift effort trade-offs across the lifespan. PsyArXiv, https://doi.org/10.31234/osf.io/9m6au

Kroemer, N. B., Lee, Y., Pooseh, S., Eppinger, B., Goschke, T., & Smolka, M. N. (2019). L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action. Neuroimage, 186, 113–125. https://doi.org/10.1016/j.neuroimage.2018.10.075 [pdf]

Reiter, A. M., Suzuki, S., O'Doherty, J. P., Li, S. C., & Eppinger, B. (2019). Risk contagion by peers affects learning and decision-making in adolescents. Journal of experimental psychology: general, 148(9), 1494–1504. https://doi.org/10.1037/xge0000512 [pdf]

2018

Rodriguez Buritica, J. M., Heekeren, H. R., Li, S. C., & Eppinger, B. (2018). Developmental differences in the neural dynamics of observational learning. Neuropsychologia, 119, 12–23. https://doi.org/10.1016/j.neuropsychologia.2018.07.022 [pdf]

van den Bos, W., Bruckner, R., Nassar, M. R., Mata, R., & Eppinger, B. (2018). Computational neuroscience across the lifespan: Promises and pitfalls. Developmental cognitive neuroscience, 33, 42–53. https://doi.org/10.1016/j.dcn.2017.09.008 [pdf]

Wittkuhn, L., Eppinger, B., Bartsch, L. M., Thurm, F., Korb, F. M., & Li, S. C. (2018). Repetitive transcranial magnetic stimulation over dorsolateral prefrontal cortex modulates value-based learning during sequential decision-making. NeuroImage, 167, 384–395. https://doi.org/10.1016/j.neuroimage.2017.11.057 [pdf]

Eppinger, B., Heekeren, H. R., & Li, S. C. (2018). Age Differences in the Neural Mechanisms of Intertemporal Choice Under Subjective Decision Conflict. Cerebral cortex, 28(11), 3764–3774. https://doi.org/10.1093/cercor/bhx239 [pdf]

2017

Eppinger, B., Walter, M., & Li, S. C. (2017). Electrophysiological correlates reflect the integration of model-based and model-free decision information. Cognitive, affective & behavioral neuroscience, 17(2), 406–421. https://doi.org/10.3758/s13415-016-0487-3 [pdf]

Bolenz, F., Reiter, A., & Eppinger, B. (2017). Developmental Changes in Learning: Computational Mechanisms and Social Influences. Frontiers in psychology, 8, 2048. https://doi.org/10.3389/fpsyg.2017.02048 [pdf]

Reiter, A., Kanske, P., Eppinger, B., & Li, S. C. (2017). The Aging of the Social Mind - Differential Effects on Components of Social Understanding. Scientific reports, 7(1), 11046. https://doi.org/10.1038/s41598-017-10669-4 [pdf]

2016

Rodriguez Buritica, J. M., Eppinger, B., Schuck, N. W., Heekeren, H. R., & Li, S. C. (2016). Electrophysiological correlates of observational learning in children. Developmental science, 19(5), 699–709. https://doi.org/10.1111/desc.12317 [pdf]

van den Bos, W., & Eppinger, B. (2016). Developing developmental cognitive neuroscience: From agenda setting to hypothesis testing. Developmental cognitive neuroscience, 17, 138–144. https://doi.org/10.1016/j.dcn.2015.12.011 [pdf]

Nassar, M. R., Bruckner, R., & Eppinger, B. (2016). What do we GANE with age?. Behavioral and brain sciences, 39, e218. https://doi.org/10.1017/S0140525X15001892 [pdf]

Nassar, M. R., Bruckner, R., Gold, J. I., Li, S. C., Heekeren, H. R., & Eppinger, B. (2016). Age differences in learning emerge from an insufficient representation of uncertainty in older adults. Nature communications, 7, 11609. https://doi.org/10.1038/ncomms11609 [pdf]

Li, S.-C., & Eppinger, B. (2016). Lifespan development of adaptive neurocognitive representations: Reciprocal interactions between cognition and motivation. In T. Braver (Ed.), Handbook of Motivation and Control (pp. 283–311). Academic Press. [pdf]

2015–2005

Eppinger, B., & Bruckner, R. (2015). Towards a mechanistic understanding of age-related changes in learning and decision making: A neuro-computational approach. In T. M. Hess, J. Strough., & C. E. Löckenhoff (Eds.), Aging and Decision Making: empirical and applied perspectives (pp. 61–77). Academic Press. [pdf]

Eppinger, B., Heekeren, H. R., & Li, S. C. (2015). Age-related prefrontal impairments implicate deficient prediction of future reward in older adults. Neurobiology of aging, 36(8), 2380–2390. https://doi.org/10.1016/j.neurobiolaging.2015.04.010 [pdf]

Störmer, V., Eppinger, B. & Li, S. C. (2014) Reward speeds up and increases consistency of visual selective attention: a lifespan comparison. Cognitive, Affective & Behavioral Neuroscience, 14, 659–671. https://doi.org/10.3758/s13415-014-0273-z [pdf]

Eppinger, B., Schuck, N. W., Nystrom, L. E., & Cohen, J. D. (2013). Reduced striatal responses to reward prediction errors in older compared with younger adults. Journal of Neuroscience, 33(24), 9905–9912. https://doi.org/10.1523/JNEUROSCI.2942-12.2013 [pdf]

Eppinger, B., Walter, M., Heekeren, H. R., & Li, S. C. (2013). Of goals and habits: age-related and individual differences in goal-directed decision-making. Frontiers in neuroscience, 7, 253. https://doi.org/10.3389/fnins.2013.00253 [pdf]

Hämmerer, D., & Eppinger, B. (2012). Dopaminergic and prefrontal contributions to reward-based learning and outcome monitoring during child development and aging. Developmental psychology, 48(3), 862–874. https://doi.org/10.1037/a0027342 [pdf]

Eppinger, B., Nystrom, L. E., & Cohen, J. D. (2012). Reduced sensitivity to immediate reward during decision-making in older than younger adults. PloS one, 7(5), e36953. https://doi.org/10.1371/journal.pone.0036953 [pdf]

Eppinger, B., & Kray, J. (2011). To choose or to avoid: age differences in learning from positive and negative feedback. Journal of Cognitive Neuroscience, 23(1), 41–52. https://doi.org/10.1162/jocn.2009.21364 [pdf]

Herbert, M., Eppinger, B., & Kray, J. (2011). Younger but not older adults benefit from salient feedback during learning. Frontiers in psychology, 2, 171. https://doi.org/10.3389/fpsyg.2011.00171 [pdf]

Eppinger, B., Hämmerer, D., & Li, S. C. (2011). Neuromodulation of reward-based learning and decision making in human aging. Annals of the New York Academy of Sciences, 1235, 1. https://doi.org/10.1111/j.1749-6632.2011.06230.x [pdf]

Eppinger, B., Herbert, M., & Kray, J. (2010). We remember the good things: Age differences in learning and memory. Neurobiology of Learning and Memory, 93(4), 515–521. https://doi.org/10.1016/j.nlm.2010.01.009 [pdf]

Kray, J., & Eppinger, B. (2009). An event-related potential (ERP) approach to study cognitive control processes. In M. Crocker & J. Siekmann (Eds.), Resource-adaptive cognitive processes (pp. 77–94). Springer. [pdf]

Eppinger, B. , Mock, B., & Kray, J. (2009). Developmental differences in learning and error processing: evidence from ERPs. Psychophysiology, 46(5), 1043–1053. https://doi.org/10.1111/j.1469-8986.2009.00838.x [pdf]

Eppinger, B. , Kray, J., Mock, B., & Mecklinger, A. (2008). Better or worse than expected? Aging, learning, and the ERN. Neuropsychologia, 46(2), 521–539. https://doi.org/10.1016/j.neuropsychologia.2007.09.001 [pdf]

Eppinger, B. , Kray, J., Mecklinger, A., & John, O. (2007). Age differences in task switching and response monitoring: Evidence from ERPs. Biological Psychology, 75(1), 52–67. https://doi.org/10.1016/j.biopsycho.2006.12.001 [pdf]

Kray, J., & Eppinger, B. (2006). Effects of associative learning on age differences in task-set switching. Acta Psychologica, 123(3), 187–203. https://doi.org/10.1016/j.actpsy.2005.12.009 [pdf]

Kray, J., Eppinger, B., & Mecklinger, A. (2005). Age differences in attentional control: An event‐related potential approach. Psychophysiology, 42(4), 407–416. https://doi.org/10.1111/j.1469-8986.2005.00298.x [pdf]