Romy Lorenz

@romy-lorenz.bsky.social

Max Planck Research Group Leader at MPI for Biological Cybernetics in Tübingen

📣 New preprint from the Braga Lab! 📣 The ventral visual stream for reading converges on the transmodal language network Congrats to Dr. Joe Salvo for this epic set of results Big Q: What brain systems support the translation of writing to concepts and meaning? Thread 🧵 ⬇️

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We’re looking for a postdoc to join our Max Planck group in Germany some time in 2026. If you have computational and/or neuroimaging expertise, and are interested in questions intersecting perception and cognition, please reach out! I’ll also be happy to chat at the #Bernsteinconference this week.

does someone good at coding & analysis want to work remotely w/ us in the coming few months (before end of 2025), as a paid consultant? project will be on neurofeedback (fMRI, ECoG, calcium imaging). we'll work towards developing the experiments & analysis pipelines together. if so pls DM me ur CV🧠📈

What started as a journal club on layer decoding turned into a project thanks to @karolisdegutis.bsky.social. Our preprint challenges a widespread assumption in the field: MVPA is not immune to vascular confounds in laminar GE-BOLD decoding, as shown using a mechanistic laminar response model.

Karolis Degutis@karolisdegutis.bsky.social · 11mo ago

Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isn’t immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.

Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isn’t immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 11mo ago

Vascular draining confounds laminar decoding in fMRI https://www.biorxiv.org/content/10.1101/2025.08.26.672278v1

We’re hiring! 🥳fully funded PhD and postdoc positions in human cognitive neuroscience @mpicybernetics.bsky.social M/EEG and brain stimulation methods to study timing/ prediction/ attention/ oscillations tinyurl.com/5dku4du9 @timingresforum.bsky.social @gtc-tuebingen.bsky.social please repost 🙏

PhD and Postdoc Positions (m/f/d) in Human Cognitive Neuroscience of Dynamic Cognition – M/EEG, brain stimulation

Job Offer from August 11, 2025

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Datasets like NSD & THINGS offer rich stimuli but often test a single task. After great conversations at #CCN2025 on multi-task studies & generalization in brains & models, I thought I would repost our perspective for those interested in this topic. We need multiple tasks!👉 doi.org/10.1038/s415...

Centering cognitive neuroscience on task demands and generalization - Nature Neuroscience

Task demands are a primary determiner of behavior and neurophysiology. Here the authors discuss how understanding their influence through multitask studies and tests of generalization is the key to ar...

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🚨 New Preprint 🚨 Targeting intracranial electrical stimulation (ES) to network regions defined within individuals causes network-level effects By Cyr et al. *** Q: Can we use individualized network maps from precision fMRI to modulate a targeted network via intracranial ES? A: Yes! 🧵:

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