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

Overview

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

PhD Students

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.

Carina is a doctoral student who joined the group in april 2020. In her PhD project, she investigates crossmodal prediction and transfer mechanisms of implicitly gained knowledge. Based on fMRI and behavioral data, she investigates the neuronal structures that are crucial for processing and predicting implicitly gained knowledge. Furthermore, she is interested in learning mechanisms in enriched environments, the study of consciousness and investigating the mechanisms beyond transfer of implicit learned rules between modalities.

Christoph joined our group as a doctoral student in August 2020. In his PhD project he investigates the neural basis of positive and negative expectations on pain. He is engaged in research on the possible modulations of neural activity by verbal instructions, implicit learning mechanisms or by the usage of noninvasive brain computer interfaces. He also examines the neural mechanisms of pain perception by combining fMRI and EEG measurements.

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.

  • 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

Alumni

Dr. Neda Salari

Dr. Signe-Luisa Winterling

Dr. Philipp Taesler