Check out this exciting new paper by Falko!
@schubotzlab
We are the Schubotz Lab at the University of Münster - we study event processing, learning and decision making, and the role of predictions in human cognition. https://www.uni-muenster.de/PsyIFP/AESchubotz/en/index.html
Check out this exciting new paper by Falko!
Happy to belatedly share some good pre-Christmas news: My colleague Karine Malysheva from Taras Shevchenko National University of Kyiv and I secured a Collaborative Diversity and Inclusion grant from @officialsarmac.bsky.social.
In this paper, we show that the brain can flexibly use available sensory information to predict hurdling movements, but at the same time also use top-down visual predictions when no visual information is provided.
We are proud to share the first publication of our cooperation project with the German Sport University Cologne! doi.org/10.1016/j.ne...
I'm excited to share our new paper about initial prediction errors, which arise spontaneously at first exposure to coherent novel stimuli.
In this study we investigated the neural and mnemonic consequences of initial PEs compared to those of experimentally induced PEs.
doi.org/10.1016/j.ne...
How do gaze patterns and hand movements differ between actors in naturalistic manipulation tasks when one person's action respond to the other's? New research from our lab, led by post-doc Anoush, using eye tracking and motion capture elucidates these processes. www.frontiersin.org/journals/psy...
NEW PUBLICATION
Our PI Ricarda Schubotz wrote an open peer commentary responding to Druzhinin and Ramírez, drawing attention to uncertainty being an intrinsic property of the brain. Read it here: constructivist.info/21/1/096
The University of Münster (main building)
🔥 Open PhD position at the Institute of Medical Psychology and Systems Neuroscience @uni-muenster.de!
Join our team to investigate neural mechanisms of conscious and non-conscious processing of neutral and emotional stimuli using EEG, fMRI, or both simultaneously. tinyurl.com/phdmuenster
New Paper Out!
Why do some prediction errors (PEs) lead to changes in episodic memories and others do not?
Our new research supports the idea that the size of the episodic PE plays a crucial role in shaping mnemonic and neural outcomes.
These are the 4 most important results:
He also gave an oral presentation on how event outcomes influence the relationship between future thinking and remembering. Participants changed their assessment of how important elections were depending on whether the elections went their way or not - showing strong self-serving biases.
Marius @mariusboeltzig.bsky.social presented his poster on the influence of prediction error size on memory - showing that large prediction errors lead to distinct encoding of new episodes, while keeping old ones intact.
Sophie @ssiestrup.bsky.social presented a pre-data poster about her new project. In a line of studies, she will investigate how prediction errors can lead to the integration or segregation of memory traces using behavioural and fMRI data.
Nina @nliedtke.bsky.social presented a poster showcasing her current work on initial prediction errors. Instead of inducing episodic memory errors, she focused on spontaneous errors arising during the first exposure to the experimental stimuli.
The Generative Episodic Memory conference organised by our @for2812.bsky.social is coming to an end and three of our lab members presented their current work. Thanks so much to the GEM organisers for putting together this great conference!
New paper about processing of episodic prediction errors out from our lab. Nina will also present this research at next week's GEM, organised by @for2812.bsky.social
The program at @unimuenster.bsky.social was set up last year and involves a lot of practical research insights, including lab rotations, analysis workshops, and even a brain dissection course. Check out the details here: www.uni-muenster.de/Psychologie/....
The first group of students from the new cohort of the interdisciplinary master’s in cognitive neuroscience visited us for their lab rotation this week. Each group learns about the analysis of MRI data, techniques in brain imaging, and the research interests and activities of our group.
We would like to thank Prof. Jorge Sepulcre and @janafehring.bsky.social for their incredible support in this project. It was a pleasure and an honour to work with both of them.
Preliminary results of this paper were already presented at this year's OHBM in Seoul.
The model comparison determined the uni-to-multimodal gradient based on the atlas proposed in Ji et al. (2019) as the most suitable organizational scheme. We discuss microstructural differences that could explain how this organizational scheme can shape the cortical chronotopy.
... which organization explains the cortical chronotopy the best. In this context we developed a new, data-driven approach to determine the uni-to-multimodal gradient based on stepwise functional connectivity.
We determined the cortical chronotopy at rest and task using autocorrelation decay and inter-subject correlation, respectively and comprehensively compared six different, previously suggested organizational schemes with the help of Bayesian model comparison to determine...
New paper from our lab in NeuroImage on cortical chronotopy, led by Falko Mecklenbrauck!
www.sciencedirect.com/science/arti...
New paper from our lab on prediction errors in episodic memory. This is the first paper with our new stimulus material in the PEGI project - a lot more is to come.
Find his work here:
www.frontiersin.org/journals/beh...
direct.mit.edu/jocn/article...
direct.mit.edu/jocn/article...
Our lab member Benjamin Jainta successfully defended his PhD! In a great presentation, he summarised his work about prediction errors in episodic memory and highlighted effects of repetition, repeated learning, agency, and perspective.
New research from our lab led by Benjamin Jainta concerning mnemonic consequences of prediction errors just came out in the Journal of Cognitive Neuroscience. Find out how the brain responds to repetitive vs varying prediction errors here: doi.org/10.1162/jocn...
Our post doc Sophie won one of the poster prizes at PUG with her work on episodic memory after prediction errors. Congratulations!
Read the paper here: direct.mit.edu/jocn/article...
Went to my first PUG conference in Hamburg last week - presented some very fresh analyses on memory representations after prediction errors, and got lots of interesting new input on all things cognitive neuroscience.