Systems of Learning and Memory
Research group
Systems of Learning and Memory
Research group
Systems of Learning and Memory
Research group


Our group investigates brain systems that are involved in the transformation of experience into enduring memories. Classically, human learning and memory was mainly divided into explicit (with awareness) and implicit (without awareness) memory, but this behavioural characterization cannot simply be mapped to distinct brain areas. For example, we have shown that implicit learning can recruit structures of the medial temporal lobe (MTL) system, which was previously regarded as exclusive to explicit memory. We are using functional magnetic resonance imaging (fMRI) and time-frequency based EEG analysis techniques to examine the systems that contribute to the different aspects of learning and memory. Combined fMRI- EEG experiments are used to describe locations and network dynamics involved in learning and memory. We further incorporate EEG- based Neurofeedback to modulate ongoing activity and examine the consequences for stimulus processing and memory formation.

Michael Rose
Prof. Dr.
Michael Rose
Philipp Taesler

Philipp has joined the group at the start of 2013. He's been investigating the relationship between ongoing neuronal activity and the variability of perceptual classifications (e.g. pain) using BCI-based neurofeedback. Currently, he is focusing on the crossmodal transfer of information in implicit learning, also employing BCI-based methods in EEG and EEG-fMRI. Further interests of his include the limitations of perception, psychophysics and machine learning.

Julia is a doctoral student who joined the group in April 2016. In her PhD project, she investigates how crossmodal predictions can be achieved implicitly and the underlying transition from implicit to verbally reportable (explicit) knowledge. Based on fMRI and EEG measurements, she investigates the neurological mechanisms associated with implicit learning of crossmodal predictions in order to detect the underlying different indicators of crossmodal integration and prediction of implicit knowledge. Furthermore, she is interested in brain-computer-interfaces, the study of consciousness and affective neuroscience.

Sun Yu Qi

Yuqi joins our group as a guest scientist with CSC-DAAD scholarship in September 2019. She investigated subliminal sequence learning using binocular rivalry during her PhD study. Now she is working on EEG analysis in implicit crossmodal learning.

Jie Wu

Jie Wu is a PhD student from the Institute of Psychology, Chinese Academy of Sciences. She is a joint PhD student currently under Michael and Prof. Qiufang Fu’s co-supervision, who joined the group in June 2019. In her PhD project, she investigates whether category learning would be benefit from the multisensory condition and whether multisensory category knowledge would generalize to a new context. Based on EEG and fMRI, the mechanisms of multisensory categorization and generalization are investigated. Furthermore, the neural substrates of acquiring multisensory abstract knowledge could be explored.

Qitian Li

Qitian Li is a visiting doctoral student from Beijing, China, who joined the group in June 2019. His PhD project is about the investigation into individuals' ability to estimate social valences, such as trustworthiness, from faces and into the existence of an possible ensemble representation of group face trustworthiness. Further investigations involve the neuro-mechanism behind the ensemble representation process and possible differences between high-level and low-level ensemble representations on EEG or fMRI data. Additionally, he is interested in micro-expression detection and has received training with FACS.

  • Staff
    • The neuronal basis of learning and memory

    • Involvement of MTL structures in implicit learning

    • The development of explicit access to implicitly learned information

    • The effect of pre-stimulus activity on memory formation

    • Neurofeedback

  • Winterling, S. L., Shields, M.S. and Rose, M. (2019). Reduced memory-related ongoing oscillatory activity in healthy older adults. Neurobiology of Aging 79, 1-10.

    Jablonowski, J., Taesler, P., Fu, Q., & Rose, M. (2018). Implicit acoustic sequence learning recruits the hippocampus. PloS One, 13(12), e0209590.

    •Scholz, S., Schneider, S. L., & Rose, M. (2017). Differential effects of ongoing EEG beta and theta power on memory formation. PLOS ONE, 12(2), e0171913.

    Taesler, P. and Rose, M. (2016). Pre-stimulus theta oscillations and connectivity modulate pain perception. Journal of Neuroscience 36(18); 5026-5033.

    •Schneider, S. and Rose, M. (2016). Intention to encode boosts memory-related pre-stimulus EEG beta power. NeuroImage 14;125:978-987. doi: 10.1016

    Schneider, S. and Rose, M. (2015). Intention to encode boosts memory-related pre-stimulus EEG beta power. NeuroImage 14;125:978-987. doi: 10.1016

    Salari, N. and Rose, M. (2015). Dissociation of the functional relevance of different pre- stimulus oscillatory activity for memory formation. NeuroImage 2015; pii: S1053-8119(15)00948-9. doi: 10.1016/.

    Rose M, Haider H, Salari N, Büchel C (2011). Functional Dissociation of Hippocampal Mechanism during Implicit Learning Based on the Domain of Associations. Journal of Neuroscience, 2011 Sep 28;31(39):13739-45.

  • SFB TRR 169: “Crossmodal Learning: Adaptivity, Prediction and Interaction”. Starting in 2016 the project within the Transregional Collaborative Research Center TRR169 funded by the DFG examines neurocognitive mechanisms for implicit learning of crossmodal predictions. The TRR is established as a Collaboration between Hamburg University and Beijing University. Project coordinator in Hamburg: Michael Rose

    DFG Project RO 2653/6-1: „Funktion und Relevanz oszillatorischer prästimulus Aktivität für die Gedächtnisbildung“. Coordinator: Michael Rose

  • Prof. Dr. Hilde Haider
    University of Cologne, Germany

    Prof. Dr. Rolf Verleger
    University of Lübeck, Germany

    Prof. Dr. Qiufang Fu
    Chinese Academy of Sciences, Beijing, China

    Prof. Dr. Xiaorong Gao
    Biomedical Engineering, Tsinghua University, Beijing, China

    Dr. Karsten Rauss
    University of Tübingen, Germany


Dr. Neda Salari

Dr. Signe-Luisa Winterling