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in press

  • Gedächtnisverbesserung: Möglichkeiten und kritische Betrachtung
    Cheng, S.
    In F. Hüttemann & Liggieri, K. (Eds.), Die Grenze "Mensch". Diskurse des Transhumanismus. Bielefeld: transcript Verlag
  • Bridging the gap between single receptor type activity and whole-brain dynamics
    Jancke, D., Herlitze, S., Kringelbach, M. L., & Deco, G.
    The FEBS Journal

2022

  • The cerebellum contributes to context-effects during fear extinction learning: A 7T fMRI study
    Batsikadze, G., Diekmann, N., Ernst, T. M., Klein, M., Maderwald, S., Deuschl, C., et al.
    NeuroImage, 253, 119080
  • Robust Query Processing for Linked Data Fragments
    Heling, L., & Acosta, M.
    Semantic Web
  • Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments
    Heling, L., & Acosta, M.
    In The Web Conference (WWW). To appear.
  • Seeing What I Did (Not): Cerebral and Behavioral Effects of Agency and Perspective on Episodic Memory Re-activation
    Jainta, B., Siestrup, S., El-Sourani, N., Trempler, I., Wurm, M. F., Werning, M., et al.
    Frontiers in Behavioral Neuroscience, 15
  • Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization
    Rath-Manakidis, P., Hlynsson, H. D., & Wiskott, L.
    In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM, (pp. 31–40) SciTePress
  • Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification
    Stephan Johann Lehmler, T. G.
    arXiv.org

2021

  • A multistage retrieval account of associative recognition ROC curves
    Hakobyan, O., & Cheng, S.
    Learning and Memory, 28(11), 400–404
  • Neuronal sequences during theta rely on behavior-dependent spatial maps
    Parra-Barrero, E., Diba, K., & Cheng, S.
    eLife, 10
  • Improved Protein Function Prediction by Combining Clustering with Ensemble Classification
    Altartouri, H., & Glasmachers, T.
    Journal of Advances in Information Technology (JAIT)
  • Emergence of complex dynamics of choice due to repeated exposures to extinction learning
    Donoso, J. R., Packheiser, J., Pusch, R., Lederer, Z., Walther, T., Uengoer, M., et al.
    Animal Cognition, 24(6), 1279–1297
  • Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-making
    Hakobyan, O., & Cheng, S.
    Journal of Cognitive Neuroscience, 33(6), 1032–1055
  • Darks and Lights, the `Yin–Yang′ of Vision Depends on Luminance
    Jancke, D.
    Trends in Neurosciences, 44(5), 339–341
  • Basal ganglia and cortical control of thalamic rebound spikes
    Nejad, M. M., Rotter, S., & Schmidt, R.
    European Journal of Neuroscience, 54(1), 4295–4313
  • Self-referential false associations: A self-enhanced constructive effect for verbal but not pictorial stimuli
    Wang, J., Otgaar, H., Howe, M. L., & Cheng, S.
    Quarterly Journal of Experimental Psychology, 74(9), 1512–1524
  • How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory.
    Buss, A. T., Magnotta, V. A., Penny, W., Schöner, G., Huppert, T. J., & Spencer, J. P.
    Psychological Review, 128(2), 362–395
  • Trial-by-trial dynamics of reward prediction error-associated signals during extinction learning and renewal
    Packheiser, J., Donoso, J. R., Cheng, S., Güntürkün, O., & Pusch, R.
    Progress in Neurobiology, 197, 101901
  • Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach
    Walther, T., Diekmann, N., Vijayabaskaran, S., Donoso, J. R., Manahan-Vaughan, D., Wiskott, L., & Cheng, S.
    Scientific Reports, 11(1)