Franziska Knolle
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franziskaknolle.bsky.social
Franziska Knolle
@franziskaknolle.bsky.social
Cognitive, clinical, computational neuroscience: I study how we understand language and make decisions, and what happens in the brain if things go wrong.

https://franziskaknolle.com
https://www.tum.de
https://www.mri.tum.de
Pinned
I am very excited to share our new preprint together with @Isabella Goodwin, @Kelly Diederen, @Emily Hird,
@veithweilnhammer.bsky.social, and @Marta Garrido! Where does predictive processing stand in psychosis research - revisiting Sterzer et al (2018) seven years later. 🧠🔍?
osf.io/preprints/ps...
Reposted by Franziska Knolle
🥳!!NEW PREPRINT!!🥳

We show that the tendency to compress complex social information into priors about social structures becomes more pronounced during adolescence.

osf.io/preprints/ps...

I am soooooo excited to share this work, together with @mkwittmann.bsky.social and @yongling.bsky.social.
November 21, 2025 at 4:02 PM
Reposted by Franziska Knolle
Individuals with schizophrenia exhibit region-specific reductions in dendritic spine densities across cortical regions involved in visual-spatial working memory. ja.ma/48dYiTW
November 21, 2025 at 12:00 PM
Reposted by Franziska Knolle
Really excited about this 5-year project starting, funded by @wellcometrust.bsky.social, where we will combine ✨computational modelling✨ with causal intervention techniques such as ✨tFUS✨ to study the neurocognitive mechanisms of repetitive negative thoughts 🚀 led by @mikebrowning.bsky.social
Repetitive negative thoughts will be investigated using a range of cutting-edge brain science techniques as part of a new study led by the Department of Psychiatry, University of Oxford and funded by Wellcome @wellcometrust.bsky.social 👇
tinyurl.com/364es88k
November 21, 2025 at 1:38 PM
Reposted by Franziska Knolle
There are 3 Oxford-based post doc positions for this Wellcome Trust project that will be advertised soon!

If you have experinece in neurostimulation (tms/tus) and/or modelling of cogneuro data in humans do contact one of us (me, @mkflugge.bsky.social @lilweb.bsky.social, Jacinta OShea) to discuss!
Repetitive negative thoughts will be investigated using a range of cutting-edge brain science techniques as part of a new study led by the Department of Psychiatry, University of Oxford and funded by Wellcome @wellcometrust.bsky.social 👇
tinyurl.com/364es88k
November 20, 2025 at 12:21 PM
Reposted by Franziska Knolle
Thrilled to share our new paper, out now in @natneuro.nature.com, uncovering how estradiol, the most potent estrogen, modulates reinforcement learning and reward prediction errors across biological levels. www.nature.com/articles/s41...

#blueprint 1/7
Estrogen modulates reward prediction errors and reinforcement learning - Nature Neuroscience
Dopamine encoding of reward prediction errors naturally fluctuates over females’ reproductive cycles with estrogenic signaling due to reduced expression of dopamine reuptake proteins.
www.nature.com
November 11, 2025 at 2:41 PM
Reposted by Franziska Knolle
New paper! Brains stretch representations along task-relevant dimensions. Spike timing is important.
www.nature.com/articles/s41...
#neuroscience
Adaptive stretching of representations across brain regions and deep learning model layers - Nature Communications
How the brain adapts its representations to prioritize task-relevant information remains unclear. Here, the authors show that both monkey brains and deep learning models stretch neural representations...
www.nature.com
November 21, 2025 at 2:44 PM
Reposted by Franziska Knolle
Interested in the evolution of human language? Check out our new paper in @science.org where we synthesize latest findings and outline a multifaceted, bio-cultural approach for studying how language evolved. Super proud of this work, and hoping it leads to exciting new research! tinyurl.com/ykacvanp
November 21, 2025 at 9:47 AM
Reposted by Franziska Knolle
Happy to share my new paper published in @nathumbehav.nature.com: A critical look at statistical power in computational modeling studies, particularly those based on model selection.
www.nature.com/articles/s41...
November 17, 2025 at 6:13 PM
Reposted by Franziska Knolle
My paper is out!
Computational modeling of error patterns during reward-based learning show evidence that habit learning (value free!) supplements working memory in 7 human data sets.
rdcu.be/eQjLN
A habit and working memory model as an alternative account of human reward-based learning
Nature Human Behaviour - In this study, Collins proposes an alternative dual-process (working memory and habit) model of reinforcement learning in humans.
rdcu.be
November 17, 2025 at 5:18 PM
Reposted by Franziska Knolle
The Change from 2020 tab is particularly interesting, given the narratives about what happened.
November 18, 2025 at 3:29 AM
Reposted by Franziska Knolle
Then we have a new paper led by Nazia Jassim @naziajassim.bsky.social on the neurochemical markers of uncertainty processing and links to trait anxiety: www.nature.com/articles/s41...

@natcomms.nature.com
Computational signatures of uncertainty are reflected in motor cortex excitatory neurochemistry - Nature Communications
Using computational modelling and neurochemical analysis, this study shows how motor cortex excitatory signals guide belief updating and adaptive learning in uncertain environments.
www.nature.com
November 13, 2025 at 12:13 PM
Reposted by Franziska Knolle
First up, this paper led by Bronagh McCoy: journals.plos.org/ploscompbiol...

When noise and volatility are independently manipulated people behave differently depending on their anxious traits.
The relationship between anxious traits and learning about changes in stochasticity and volatility
Author summary Adapting to changes in our environment is a daily endeavour. To do so, humans and animals alike make use of feedback to guide future actions. Uncertainty in the environment can arise fr...
journals.plos.org
November 13, 2025 at 11:51 AM
Reposted by Franziska Knolle
Hidden Markov Models
Speaking of HMMs, really enjoyed this paper on dynamics underlying resting state and other conditions. The idea of a baseline state from which excursions lead to more integrated states is really interesting.
doi.org/10.7554/eLif...
#neuroskyence
November 9, 2025 at 3:03 PM
Reposted by Franziska Knolle
Which one is more English?
November 6, 2025 at 11:58 AM
Reposted by Franziska Knolle
Correlation detection as a stimulus computable account for AV perception, causal inference & saliency maps in mammals elifesciences.org/articles/106... Image- & sound-computable population model for AV perception -> Used simulation to model psychophysical, eye-tracking & pharmacological experiments
Correlation detection as a stimulus computable account for audiovisual perception, causal inference, and saliency maps in mammals
Optimal cue integration, Bayesian Causal Inference, spatial orienting, speech illusions and other key phenomena in audiovisual perception naturally emerge from the collective behavior of a population ...
elifesciences.org
November 7, 2025 at 12:22 PM
Reposted by Franziska Knolle
Last blog post by me on Open Research. This time on the value of not-for-profit/diamond open access publishers: echr.group/2025/11/05/w...
Why should I support not-for-profit publishers/diamond open access journals?
Traditional scientific publishing is a very lucrative business. For example, it has been reported that for-profit publishers (such as Elsevier, Springer-Nature, Wiley, Taylor & Francis) have pr…
echr.group
November 7, 2025 at 10:31 AM
Reposted by Franziska Knolle
The ICHR Special Supplement 2025 is out!

New in Schiz Bull, find work from six of our international working groups, ft. new reviews on sleep dysfunction, cog development, psychedelics, cross-cultural comparisons, & the bodily self, plus the iMAPS 2 Imagery RCT!

hallucinationconsortium.org
International Consortium on Hallucination Research
Visit the post for more.
hallucinationconsortium.org
November 6, 2025 at 8:55 AM
Reposted by Franziska Knolle
This is 🤯

All publicly available. Looks like an amazing new histology-based human probabilistic atlas and parcellation tool.

#neuroskyence #mri #brainmapping

A probabilistic histological atlas of the human brain for MRI segmentation | Nature share.google/5AD0iW7pxgb4...
A probabilistic histological atlas of the human brain for MRI segmentation - Nature
NextBrain is an open source, probabilistic atlas of the entire human brain, assembled using artificial-intelligence-enabled registration and segmentation methods to reconstruct the multimodal serial h...
share.google
November 6, 2025 at 5:35 AM
Reposted by Franziska Knolle
Thrilled to share my very first publication, in Translational Psychiatry! 🧠🧪
We used invasive brain mapping to identify personalized neuromodulation targets for treatment-refractory OCD.
Read it here 👉 www.nature.com/articles/s41...

#OCD #DBS #Neuroscience #Research
Invasive brain mapping identifies personalized therapeutic neuromodulation targets that suppress OCD network activity - Translational Psychiatry
Translational Psychiatry - Invasive brain mapping identifies personalized therapeutic neuromodulation targets that suppress OCD network activity
www.nature.com
November 4, 2025 at 12:41 PM
Reposted by Franziska Knolle
Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language.

tl;dr: you can now chat with a brain scan 🧠💬

1/n
November 3, 2025 at 3:17 PM
Reposted by Franziska Knolle
What he said: 💯 🎯
November 1, 2025 at 6:55 PM
Reposted by Franziska Knolle
*Neurocomputational architecture for syntax/language*
Don't forget our discussion this Wed.
Note the different time and the change of time in the US.
*Neurocomputational architecture for syntax/learning*

Neuroscience & Philo Salon: join our discussion with @elliot-murphy.bsky.social with commentaries by @wmatchin.bsky.social and @sandervanbree.bsky.social
Nov 5, 10:30 am eastern US
Register:
umd.zoom.us/my/luizpesso...
#neuroskyence
November 2, 2025 at 5:32 PM
Reposted by Franziska Knolle
In this article, Holton et al. show that both humans and artificial neural networks have similar patterns of transfer and interference during sequential learning.
Humans and neural networks show similar patterns of transfer and interference during continual learning - Nature Human Behaviour
When learning new tasks, both humans and artificial neural networks face a trade-off between reusing prior knowledge to learn faster and avoiding the disruption of earlier learning. This study shows that people and artificial neural networks have similar patterns of transfer and interference and vary in how they balance this trade-off.
www.nature.com
November 2, 2025 at 8:07 PM
🚨Do you need validated German sentences for your language experiment?🇩🇪🗯️
Check out our Munich Sentence Database (MuSe)
munichsentencedatabase.franziskaknolle.com
619 sentences with cloze probabilities, entropy & recorded audio–all open access!
Brilliant work by my PhD student @esterner.bsky.social 👏
November 2, 2025 at 8:59 PM
Reposted by Franziska Knolle
Excited to share the Munich Sentence Database (MuSe)!

osf.io/preprints/ps...

💬 619 German sentences
📊 Cloze probabilities & entropy estimated from up to 232 participants
👫 Demographic + subclinical data
🎧 Professionally recorded audio material
🪄 Open access scripts and interactive online tool
OSF
osf.io
October 31, 2025 at 1:22 PM