Vanessa Teckentrup

Hey liebe Community, ihr kennt doch sicher den @realscientists.de Account, auf dem jede Woche ein toller Mensch sich und die eigene Forschung vorstellt. Wenn ihr Lust habt, dort einer großen & diversen Zielgruppe für eine Woche eure Arbeit zu präsentieren, meldet euch bei @jensfoell.de per DM. 🧠🫶

Great perspective piece on open-ended questions in ESM data by @bringmannlaura.bsky.social and colleagues that came out of this year's #MITNB meeting!

Really pleased to see this commentary from @glassybrain.bsky.social on our paper. She situates our findings within the immunometabolic depression framework and points to some cool directions for future work, including longitudinal designs and measuring insulin resistance more directly. Take a look!

Was great fun to dive deep into your work and the literature in general! Feels like there's lots of exciting new avenues on the horizon with new methods that make real-time monitoring of body, brain, and behavioural domains less burdensome for people!

Metabolism and the Mind: Investigating the Link Between Glucose Control and Reinforcement Learning in Humans Signals from the body profoundly influence cognition. This process is known as interoception, and has been extensively studied in the cardiac, respira…

Thanks to Deanna Barch for the opportunity to write this and @akuehnel.bsky.social for her thoughts on the first draft! And check out @hugofleming.bsky.social's paper for an exciting blend of computational psychiatry & real-time metabolic monitoring: www.sciencedirect.com/science/arti...

Metabolic Contributions to Learning and Feeling: Why They Matter and How to Make the Most of Them

Thoroughly enjoyed writing a commentary on a great paper by @hugofleming.bsky.social et al for @biologicalpsych.bsky.social:GOS, focusing on how to further explore metabolic contributions to learning and feeling using real-time data and interventional designs:
www.sciencedirect.com/science/arti...

#MSCA success rates now below 10%, yet the work that goes into writing this application is immense. Beyond the obvious increase in funding we need to find ways to lighten the time investment as well. Thousands of researchers spend weeks if not months working on this.

Have you been interested in any of the set theory stuff I've been doing recently? Wondered at all how you can get in on the fun? Here's an R package @nicolasleenaerts.bsky.social and I built called 'setweaver.' This vignette should get you up and running. Yay :)
cran.r-project.org/web/packages...

1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.

How does metabolic learning shape human behaviour? In our recent study www.sciencedirect.com/science/arti..., we found that it shapes flavour preferences but, surprisingly, not action. Thread 🧵

What is the brain for? Active inference is widely discussed as a unifying framework for understanding brain function, yet its empirical status remains debated. Our review identifies core predictions across the action-perception cycle and evaluates their empirical support: osf.io/preprints/ps...

Someone read this + noted a coding error to determine the 3-day mean correlations. Now updated with the new code + submitted a revision to bioRxiv.

On one hand, induced a moderate shame spiral.
On the other, super appreciative to see how I hope these open-science practices will work in action!

New preprint with Nicolai Wolpert and Catherine Tallon-Baudry !

Reaction times across three distinct perceptual tasks (total N = 90) varied with the electrical rhythm of the stomach.

#neuroskyence

Indecision and recency-weighted evidence integration in non-clinical and clinical settings Biases in information gathering are common in the general population and can reach pathological extremes in paralysing indecisiveness, as in obsessive-compulsive disorder (OCD). Here, we adopt a new p...

New preprint from my postdoc with @tobiasuhauser.bsky.social at the MPC!

TL;DR: there is a strong recency bias in information gathering and it is attenuated in people on the #OCD spectrum - a possible mechanism for #indecisiveness 🤔

Paper here: www.biorxiv.org/content/10.1...

Thread below...

Infinite hidden Markov models can dissect the complexities of learning - Nature Neuroscience Bruijns et al. present a modeling tool that enables the tracking of learning dynamics across subjects to reveal how behaviors emerge and adapt. Applying the tool to a decision-making task in mice unco...

New in Nature Neuroscience: We developed a flexible model that reveals how animals learn tasks—uncovering stages, sudden insights, and gradual improvements unique to each animal.
Learning isn't monotonic, and our model captures that complexity 🐭📊
www.nature.com/articles/s41...

Thanks to everyone who was there!

It really is fantastic to know that 70(!) people are interested in storytelling to explain science! 💙 😱

Missed the talk? Don't worry, I recorded it (in German): youtu.be/hUY098T9p-k

Thanks to @psycomm.bsky.social for allowing me to be one of the first talks! ✨

I’m very happy to share the latest from my lab published in @Nature

Hippocampal neurons that initially encode reward shift their tuning over the course of days to precede or predict reward.

Full text here:
rdcu.be/eY5nh

We’re launching a bi-weekly m-Path blog on #ESM / #EMA measurement, new papers & showcases.

🗓️ Every 2 weeks (Wed).

First up: item quality.
A paper by @gudruneisele.bsky.social introduces ESM-Q: a consensus checklist for good momentary items.

👉 Read the blog: blog.m-path.io/blog/our-blo...

RetINaBox: A Hands-On Learning Tool for Experimental Neuroscience An exciting aspect of neuroscience is developing and testing hypotheses via experimentation. However, due to logistical and financial hurdles, the experiment and discovery component of neuroscience is...

Are you thinking about doing neuroscience outreach but want to make it more exciting or hands on?

Check out RetINaBox! (A collab led by the Trenholm lab)

We tried to bring the experience of experimental neuroscience to a classroom setting:

www.eneuro.org/content/13/1...

#neuroscience 🧪

WARN-D machine learning competition is live » Eiko Fried If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...

After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data.

If you share a single thing of my lab this year, please make it this competition.

eiko-fried.com/warn-d-machi...

🚨My trainee Victoria Murphy, data architect Gabriel Mongefranco, and I are pleased to share 🌟EMA-CleanR: R code to pre-process, clean, and visualize ecological momentary assessment (EMA) data!

Documentation: teamdynamix.umich.edu/TDClient/210...

Code: github.com/DepressionCe...

🚀 Excited to announce that I'm looking for people (PhD/Postdoc) to join my Cognitive Modelling group @uniosnabrueck.bsky.social.

If you want to join a genuinely curious, welcoming and inclusive community of Coxis, apply here:
tinyurl.com/coxijobs

Please RT - deadline is Jan 4‼️

It’s a great study, and I’m excited to see this entering public awareness! But there’s still much more to cover, as BOLD coincides with other metabolic changes, including anaerobic metabolism and lactic acid production. In fact, others have proposed ↑CBF may help regulate local pH homeostasis.

Horrifying glimpse into a possible future of the scientific information ecosystem.

Fake papers cited dozens of times in real journals, and indexed in our most commonly used databases -- As this grows, it could become a corruption of the literature impossible to undo.

1/2

#academicsky 🧠🟦

The “machinal bypass” and how we’re using AI to avoid ourselves | PNAS The “machinal bypass” and how we’re using AI to avoid ourselves

Love this short opinion piece on “mechanical bypass” in analogy to “spiritual bypass”.

One initial line of defense could be to require transparency statements regarding how instruments have been vetted to combat malicious users, based on best practices (like a STAR editor check). In a recent workshop, we aimed to create such a compendium (see @andreaaaaa.bsky.social for access)!

Image illustrating sensor placement. The reference sensor is placed on the xiphoid process (just under the sternum), the ground is placed on the left costal margin (just under the bottom rib), and sensors one through four are place over where the stomach would be. Sensor 3 is midway through the umbilicus (navel) and the reference sensor. Sensor 4 is roughly three centimetres from sensor 3 to participant-right. Sensors 2 is also roughly three centimetres away from sensor 3, but along a 45 degree angle upwards and to participant-left. Sensor 1 lies 3 centimetres further from sensor 2, along the same 45 degree line.

Two-panel image showing a processed electrogastrogram. The left panel shows five minutes of raw data from four different leads (measured from the four sensors in the previous image and their common reference). The right panel shows the same signal in frequency space, illustrating the typical normogastric peak at 3 cycles per minute.

Are you curious about electrogastrography, but keep getting chicken-related results when googling "EGG"? We have the preprint for you!

In this tutorial, we describe how to acquire and analyse gastric data from human participants. Plus FREE software! Read it here: arxiv.org/abs/2509.17260

A figure showing that non-invasive transcutaneous vagus nerve stimulation (tVNS) modulates Pavlovian bias in a state-dependent manner. A milkshake vs. water load reduces hunger and these changes are associated with the effects of tVNS on Pavlovian bias.

Last preprint 🎶(of the year).

If vagus nerve stimulation alters motivation by amplifying internal signals, then bodily states should matter. Using milkshake vs. water loads, we show that tVNS-induced changes in Pavlovian bias are dependent on hunger. #neuroskyence 🩺
www.biorxiv.org/content/10.6...

BOLD signal changes can oppose oxygen metabolism across the human cortex, Nature Neuroscience

fMRI signals “up,” but neural metabolism might be going “down.”

In our @natneuro.nature.com paper, we demonstrate that about 40% of voxels with robust BOLD responses exhibit opposite oxygen metabolism, revealing two distinct hemodynamic modes.

rdcu.be/eUPO8
funds @erc.europa.eu
#neuroskyence 🧵:

Higher glucose levels buffer against everyday stress load Adaptive stress responses are dependent on the availability of energy and the body's effectiveness in metabolizing glucose as fuel. However, it is not well understood if glucose levels contribute to t...

📣I’m excited to share our new preprint on how our body’s energy supply shapes everyday stress experiences:

📄𝐇𝐢𝐠𝐡𝐞𝐫 𝐠𝐥𝐮𝐜𝐨𝐬𝐞 𝐥𝐞𝐯𝐞𝐥𝐬 𝐛𝐮𝐟𝐟𝐞𝐫 𝐚𝐠𝐚𝐢𝐧𝐬𝐭 𝐞𝐯𝐞𝐫𝐲𝐝𝐚𝐲 𝐬𝐭𝐫𝐞𝐬𝐬 𝐥𝐨𝐚𝐝
www.biorxiv.org/content/10.6...