Thank you for your interest in our current theses & internships!
1. The EEGManyLabs Project is dedicated to visual spatial attention and a replication of an influential EEG study.
2. The Retro Cueing Project investigates how our brain coordinates working memory processes.
3. The SCENTinel Project deals with the sense of smell and its significance for the human psyche.
4. The Project on the comparison of image representations in human memory and neural networks investigates how people perceive and remember photos of complex visual scenes and how these processes are influenced by the characteristics of the images.
We also have two projects that are just in English:
5. The EEG-Many-Pipelines Project looks at whether and how the processing of EEG data affects the results.
6. The CORENATS Project investigates the question which factors determine wether a picture is remembered or forgotten and the neural represantation in the brain.
For more information, have a look at each project - one of them might be interesting for you!
Interested in neuroscientific research, especially EEG? Heard of the replication crisis and asked yourself what you might do about it? Ever participated in an EEG experiment and wondered what it would be like to set up the EEG cap yourself? Apply for an internship with us! We're searching for students interested in supporting us in our research. You will have the opportunity to gain insights into our various projects and international collaborations as well as the day-to-day proceedings of a lab conducting neuroscientific research with EEG methods.
This part of the ManyLabs project is focused on visual spatial attention, which is often examined by using stimuli that direct attention towards specific locations. These so-called "cues" result in better behavioral performances as well as stronger neural reactions. We are replicating an influential EEG study by Clark & Hillyard (1996), which uses a cue-paradigm to investigate the role of attention in the processing of visual stimuli. The study reports that attention does not modulate the processing of information in the primary visual cortex - attention effects only emerge in higher visual areas in the ventral-lateral occipital cortex.
What you will be doing:
Within the scope of a research internship or a thesis, you will contribute to many aspects of the project, e.g. by:
recruting subjects
assisting and conducting EEG & eyetracking data recordings
coordination with international research groups
We are looking for:
interest in neuroscience research/previous experience with neuroscientific methods
independent and reliable work
capacity for teamwork and good communication skills
potentially previous experience with Matlab
potentially previous experience with recruting subjects and/or data collection
We are offering you:
research internship or thesis (Bachelor's or Master's thesis)
close supervision and integration in a research team
interesting research on the replication crisis
practical experience with EEG and Eyetracking data collection
opportunities to contribute to further interesting tasks, e.g. complex data analyses, scientific writing, programming, ...
Interested?
Contact Paul Smith (paul.smith[at]uni-muenster.de) with a short motivational statement and your CV.
Clark, V. P., & Hillyard, S. A. (1996). Spatial Selective Attention Affects Early Extrastriate But Not Striate Components of the Visual Evoked Potential. Journal of Cognitive Neuroscience, 8(5), 387–402. https://doi.org/10.1162/jocn.1996.8.5.387
Pavlov, Y. G., Adamian, N., Appelhoff, S., Arvaneh, M., Benwell, C. S., Beste, C., ... & Mushtaq, F. (2021). # EEGManyLabs: Investigating the replicability of influential EEG experiments. Cortex, 144, 213-229. https://doi.org/10.1016/j.cortex.2021.03.013
How does our brain coordinate working memory processes? To answer this question, previous neuroimaging studies have investigated the neural correlates of prioritization of items (for example colors) held in visual short term memory. Using EEG, it has been shown that prioritized items (say, a red, blue and green item on the left half of a screen) in working memory may be reflected by two EEG-based signatures. During the working memory retention interval (so while people actively memorize items), both the contralateral delay activity (CDA), as well as power in the alpha band (around 8-12 Hz) in posterior brain areas, have been found to differ between memorized items presented in the contralateral or ipsilateral visual hemifield.
So the interesting part about these EEG measures is that they both exhibit a lateralized topography: Contralateral to memorized visual target(s), for the CDA, more negative ERP amplitudes (Luria et al., 2016; Vogel & Machizawa, 2004) and for alpha activity, reduced power (Green et al., 2017; Sauseng et al., 2009) has been found.
But do memory representations remain lateralized according to the target‘s original retinotopic location, even when the gaze is shifted in the meantime? Or is lateralization updated according to target‘s current spatiotopic location in the world? To address these questions, we are carrying out a multi-method study, in which participants will complete a visual working memory task while we measure their EEG and simultaneously collect eye-tracking data.
We are looking for motivated students to assist in this project, either as a research internship or as part of a thesis topic.
What you will be doing:
As part of your research internship or thesis project, you will assist the project team in all stages of the project. With the help of close supervision, you will contribute to the project, e.g. by
organizing subject acquisition and appointment scheduling
assisting in lab-based EEG & eye-tracking data collection
doing literature research and participating in journal clubs about relevant papers.
possibility contributing your own research question(s) to the project
We are looking for:
first experience with and / or an interest in neuroscientific methods
structured, careful and self-reliant work
openness, communication skills and ability to work in a team
confident handling of common MS Office, browser and mail applications
ideally first experience with R and / or MATLAB
ideally first experience with participant recruitment and / or data collection
We are offering:
a research internship and / or a thesis topic (B.Sc. and M.Sc.)
very close mentoring and feedback throughout the process
a project which adheres to open science principles
hands-on experience with neuroscientific methods (EEG and eye-tracking)
insights into data analysis with eeglab toolbox in MATLAB
hands-on experience with statistical data analysis using R
and additional learning opportunities depending on your interest (e.g. advanced statistical analyses, scientific writing, improving coding skills, …)
Interested?
Please contact us by sending a short introductory statement and a CV to anna.lena.biel[at]uni-muenster.de.
Green, J. J., Boehler, C. N., Roberts, K. C., Chen, L. C., Krebs, R. M., Song, A. W., & Woldorff, M. G. (2017). Cortical and subcortical coordination of visual spatial attention revealed by simultaneous EEG–fMRI recording. Journal of Neuroscience, 37(33), 7803-7810.https://doi.org/10.1523/JNEUROSCI.0326-17.2017
Luria, R., Balaban, H., Awh, E., & Vogel, E. K. (2016). The contralateral delay activity as a neural measure of visual working memory. Neuroscience & Biobehavioral Reviews, 62, 100-108. https://doi.org/10.1016/j.neubiorev.2016.01.003
Sauseng, P., Klimesch, W., Gerloff, C., & Hummel, F. C. (2009). Spontaneous locally restricted EEG alpha activity determines cortical excitability in the motor cortex. Neuropsychologia, 47(1), 284-288.https://doi.org/10.1016/j.neubiorev.2009.12.006
Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428(6984), 748-751.https://doi.org/10.1038/nature02447
Psychology and Cognitive Neuroscience are facing a replicability crisis as it is estimated that around 50% of studies in these fields could not be replicated (Open Science Collaboration, 2015). A few potential reasons have been named, including small effects and differences in experimental setups (e.g., varying tasks). Another factor that could contribute to low replicability is a lack of standardized data cleaning and analysis practices. Laboratories worldwide vary in the way they process data, by using so-called data processing pipelines - steps that are used to prepare data for the analysis. For instance, electroencephalogram (EEG) data can be processed in numerous different ways despite the fact that it is one of the most commonly used neuroimaging tools in Psychology. But how variable are the data processing pipelines in real-life laboratory settings and how much do they affect the result if at all? This thesis will contribute to the EEGManyPipelines project, which is a community driven, international collaborative approach to tackle the causes behind the replicability crisis in the field. We will look at how much the EEG signal differs before and after processing and cleaning it, by using different pipelines. If you wish to learn more about EEG data preprocessing, and would like to consider continuing your career path in research – this project might be just for you!
What you will be doing:
With a help of close supervision you will be estimating features from the raw EEG dataset with minimal processing and comparing those to the features of the same data that had been pre-processed by different labs. We will derive brain signal features that originate from the neural activity (e.g., oscillations, event-related potentials) as well as noise (e.g., muscle activity), and compare how much they change after the processing. We will then try to identify potential determinants of this change.
We are searching for:
interest in EEG data processing
some familiarity with Matlab and/or Python
good English skills
good organizational skills
We are offering:
close mentoring
project on existing dataset (no data collection is required)
broad learning opportunities (e.g. improved coding skills in Matlab)
hands-on experience to research practices
practical insights
Interested?
Please contact us by sending a short introductory statement and a CV to elena.cesnaite[at]uni-muenster.de.
It is well known that our memories fade over time: with the passage of time, people tend to remember fewer details about a scene they saw as it becomes less vivid. Memory formation and representation can be studied experimentally in a laboratory set up by presenting participants with different sets of pictures, some of which are repeated, and asking to indicate if they have seen the picture before. In our laboratory we also aim to understand neural representation of memories and measure participants’ brain activity with an electroencephalogram (EEG). By doing so we try to understand why at times pictures are remembered or forgotten. Forgetting can depend on various factors - it can depend not only on how much time has passed between two presentations of the same picture, but it can also depend on the properties of the picture itself. How well a picture is remembered can be measured by behavioral measures, i.e., correct answers, but it can also be represented by neural network activity, i.e. event-related potentials (ERPs). In this Master thesis we will investigate the question which factors determine whether the picture is remembered or forgotten and what their neural representations in the brain are.
What you will be doing:
With the help of a supervisor, you will be working on an existing dataset that includes behavioral and EEG data. You will extract features from the EEG data under different conditions and compare them statistically. You will learn how to analyze and interpret EEG data, visualize and discuss your findings.
We are searching for:
Bachelor’s degree
interest in memory formation
interest EEG data processing
basic familiarity with Matlab and/or R
good English skills
good organizational skills
We are offering:
close mentoring
project on existing dataset (no data collection is required!)
broad learning opportunities (e.g. improved coding skills in Matlab and R!)
hands-on experience to research practices
practical insights
Interested?
Please do not hesitate to contact us by sending a short introductory statement and a CV to elena.cesnaite[at]uni-muenster.de
