Rasmus Bruckner
Rasmus Bruckner
Verified email at fu-berlin.de
Title
Cited by
Cited by
Year
Age differences in learning emerge from an insufficient representation of uncertainty in older adults
MR Nassar, R Bruckner, JI Gold, SC Li, HR Heekeren, B Eppinger
Nature communications 7 (1), 1-13, 2016
892016
Statistical context dictates the relationship between feedback-related EEG signals and learning
MR Nassar, R Bruckner, MJ Frank
Elife, 2019
252019
Computational neuroscience across the lifespan: Promises and pitfalls
W van den Bos, R Bruckner, MR Nassar, R Mata, B Eppinger
Developmental cognitive neuroscience 33, 42-53, 2018
212018
Computational mechanisms of human state-action-reward contingency learning under perceptual uncertainty
D Ostwald, R Bruckner, HR Heekeren
Conference on Cognitive Computational Neuroscience, 5-8 September 2018 …, 2018
52018
Power, positive predictive value, and sample size calculations for random field theory-based fMRI inference
D Ostwald, S Schneider, R Bruckner, L Horvath
bioRxiv, 2019
42019
I knew that! Response-based outcome predictions and confidence regulate feedback processing and learning.
N Frömer, R., Nassar, M. R., Bruckner, R., Stürmer, B., Sommer, W., Yeung
BioRxiv, 2020
3*2020
Perceptual uncertainty modulates human reward-based learning
R Bruckner, HR Heekeren, D Ostwald
32019
Default beliefs guide learning under uncertainty in children and older adults
R Bruckner, MR Nassar, SC Li, B Eppinger
PsyArXiv, 2020
22020
Response-based outcome predictions and confidence regulate feedback processing and learning
R Frömer, MR Nassar, R Bruckner, B Stürmer, W Sommer, N Yeung
Elife 10, e62825, 2021
12021
Belief states and categorical-choice biases determine reward-based learning under perceptual uncertainty
R Brucker, HR Heekeren, D Ostwald
bioRxiv, 2020
12020
Random field theory-based p-values: a review of the spm implementation
D Ostwald, S Schneider, R Bruckner, L Horvath
arXiv preprint arXiv:1808.04075, 2018
12018
What do we GANE with age?
MR Nassar, R Bruckner, B Eppinger
Behavioral and Brain Sciences 39, 2016
12016
Towards a mechanistic understanding of age-related changes in learning and decision making: A neuro-computational approach
B Eppinger, R Bruckner
Aging and Decision Making, 61-77, 2015
12015
Decomposing the influences of uncertainty on learning: Normative computations, uncertainty biases, and lifespan differences
R Bruckner
Freie Universität Berlin, 2021
2021
Decomposing the influences of uncertainty on learning: Normative computations, uncertainty biases, and lifespan differences
R Bruckner
2021
" Computational neuroscience across the lifespan: Promises and pitfalls": Erratum.
W van den Bos, R Bruckner, MR Nassar, R Mata, B Eppinger
Elsevier Science, 2020
2020
date: 2020-10-26T07: 33: 49Z pdf: PDFVersion: 1.5 pdf: docinfo: title: Belief states and categorical-choice biases determine reward-based learning under perceptual uncertainty …
R Bruckner, HR Heekeren, D Ostwald
2020
Differences in adaptive learning across the lifespanare driven by satisficing (Version posted online June 8, 2021)
R Bruckner, MR Nassar, SC Li, B Eppinger
2020
On SPM’s parametric p-values
D Ostwald, S Schneider, R Bruckner, L Horvath
arXiv preprint arXiv:1808.04075, 2018
2018
Differences in adaptive learning across the lifespan are driven by satisficing
R Bruckner, MR Nassar, SC Li, B Eppinger
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