Conference Paper (5)
2019
Conference Paper
, , , , , , , , , , , , , , & (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology. In , , , & (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 114–123). Springer. https://doi.org/10.1007/978-3-030-31901-4_14
2018
Conference Paper
, , , , , , & (2018). Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships. In 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 12-14 June 2018, Singapore (pp. 1–4). https://doi.org/10.1109/PRNI.2018.8423947
Working Paper (28)
2021
Working Paper
, , & (2021). Income shock increases delay discounting independently of emotion. PsyArXiv, 22 March 2021. https://doi.org/10.31234/osf.io/yhm3b
Working Paper
, , , , , & (2021). Asymmetric learning facilitates human inference of transitive relations. BioRxiv, 437766. https://doi.org/10.1101/2021.04.03.437766
Working Paper
, , & (2021). Control over patch encounters changes foraging behaviour. BioRxiv, 426950. https://doi.org/10.1101/2021.01.19.426950
Working Paper
, , , , , & (2021). Moment-to-moment brain signal variability reliably predicts psychiatric treatment outcome. MedRxiv, 21251814. https://doi.org/10.1101/2021.02.17.21251814
Working Paper
, , , & (2021). Parallel representation of context and multiple context-dependent values in ventro-medial prefrontal cortex. BioRxiv, 435844. https://doi.org/10.1101/2021.03.17.435844
Working Paper
, , , , , & (2021). Motivational learning biases are differentially modulated by genetic determinants of striatal and prefrontal dopamine function. BioRxiv, 438916. https://doi.org/10.1101/2021.04.08.438916
Working Paper
, , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2021). “Brain age” relates to early life factors but not to accelerated brain aging. BioRxiv, 428915. https://doi.org/10.1101/2021.02.08.428915
Working Paper
, , , , , , & (2021). Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent. BioRxiv, 426522. https://doi.org/10.1101/2021.01.13.426522
Working Paper
, , , & (2021). Replay in minds and machines. PsyArXiv, 22 March 2021. https://doi.org/10.31234/osf.io/df7ga
2020
Working Paper
, , , , & (2020). Orbitofrontal cortex and learning predictions of state transitions. BioRxiv, 302521. https://doi.org/10.1101/2020.09.17.302521
Working Paper
, , , , , , , , , , , , & (2020). Cohort profile update: GendAge and Berlin Aging Study II (BASE-II). MedRxiv, 07 September 2020. https://doi.org/10.1101/2020.09.05.20187898
Working Paper
, , , , , , , , , , , , , , , , , , , , , , , & (2020). The genetic organization of subcortical volumetric change is stable throughout the lifespan. BioRxiv, 143834. https://doi.org/10.1101/2020.06.12.143834
Working Paper
, , , , , , , , , , , , , , & (2020). Self-reported sleep relates to microstructural hippocampal decline in β-amyloid positive adults beyond genetic risk (Version posted online October 28, 2020). BioRxiv, 061184. https://doi.org/10.1101/2020.04.28.061184
Working Paper
, , , & (2020). Wie gefährlich ist COVID-19? Die subjektive Risikoeinschätzung einer lebensbedrohlichen COVID-19-Erkrankung im Frühjahr und Frühsommer 2020 in Deutschland (SOEPpapers on Multidisciplinary Panel Data Research No. 1095). DIW.
Working Paper
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2020). BrainIAK: The Brain Imaging Analysis Kit. OSF Preprints, 9 December 2020. https://doi.org/10.31219/osf.io/db2ev
Working Paper
, , , & (2020). Interacting brains coming in sync through their minds: An inter-brain neurofeedback study. BioRxiv, 423070. https://doi.org/10.1101/2020.12.16.423070
Working Paper
, , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2020). Education and income show heterogeneous relationships to lifespan brain and cognitive differences across European and US cohorts. BioRxiv, 335687. https://doi.org/10.1101/2020.10.12.335687
Working Paper
, & (2020). Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis. BioRxiv, 2020.02.15.950667. https://doi.org/10.1101/2020.02.15.950667