Nina Liedtke, M.Sc.
phd student
Institut für Psychologie
Fliednerstraße 21
D-48149 Münster
room Fl 310b
phone: +49 (0) 251 / 83 34131
E-Mail: nina.liedtke [a] uni-muenster.de
Academic CV
Since October 2022
Researcher and doctoral student, University of Münster, Biological Psychology (Prof. Dr. Ricarda Schubotz)
2021 – 2022
Research assistant at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig
- 12 month master thesis project in the neuropsychology department
- student assistant in the psychology department
Master Thesis: „Fulfilled and violated predictions: ERPs during the processing of German discourse scenarios“
2020 – 2021
Student assistant at the University clinic of Münster, department for translational psychiatry
2019 – 2022
M.Sc. Psychology, University of Münster
2017 – 2019
Student assistant at the department of Psychology, University of Münster
- Research assistant in the differential psychology group
- Tutor for biological psychology
- Tutor for diagnostic interviewing
2016 – 2019
B.Sc. Psychology, University of Münster
Academic Interest
- Neural basis of episodic memory
- fMRI, EEG
Publications
Boeltzig, M, Liedtke, N., Schubotz, R.I. (2024). Prediction errors lead to updating of memories for conversations. Memory. https://doi.org/10.1080/09658211.2024.2404498
Conference Contributions
Liedtke, N., Boeltzig, M. & Schubotz, R. I. (2024). Quantifying episodic prediction errors: an fMRI study on memory stability and new learning. Poster auf dem Annual Meeting of the Organization for Human Brain Mapping (OHBM). Seoul, Korea.
Tanaka, E., Kudo, J., Liedtke, N., Cai, C., Nihashi, T., Sakurai, K., Arahata, Y., Takeda, A., Kato, T., Nakamura, A. & BATON study group (2024). Changes in brain magnetic fields related to face recognition according with the progression of Alzheimer’s disease. Poster at the 39th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society. Chiba, Japan.
Liedtke, N., Boeltzig, M., Schubotz, R. I. (2023). Learning from quantified episodic prediction errors: Individual biases in gist revision. Poster at Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy. Bochum, Germany.
Boeltzig, M., Liedtke, N., Schubotz, R. I. (2023). Learning from quantified episodic prediction errors: Individual biases in gist revision. Poster at Berlin-Bochum Memory Symposium. Berlin, Germany.
Project
Learning from quantified episodic prediction errors: Individual biases in gist revision
Memories do not only carry information about the past. Instead, they also help us predict future events and generate expectations about what will happen next in a given situation. When a memory is retrieved in order to generate predictions, it enters a state of malleability and can be modified if the prediction was wrong (prediction error; PE). We are interested in the mechanism of memory modification in response to PEs and aim to investigate the nature of PEs that are capable of changing memories.
Complementary to a prior project, in which the quality of PEs was manipulated, we will vary the strength of PEs quantitatively. Furthermore, we will make use of social interactions as highly naturalistic stimuli. A paradigm encompassing several experimental sessions will be employed, in which the brain activity of participants will be measured both during encoding and during retrieval of episodes using fMRI.