Postdoctoral Researcher https://teapawt.net/t.co/F8yfkW93pZ & HRF @bbkpsychology @audioneurolab | speech+sounds+brains 🧠 cogsci, audio, neuroimaging, language, methods
London, England
Joined February 2012
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🚨New paper🚨about accented speech perception doi.org/10.1016/j.bandl.2025… by brilliant (MSc student at the time!) Amir Ghooch Kanloo accompanied by myself, @KazuyaSLA and @AdamTTierney from fun times at @audioneurolab @bbkpsychology 🧵1/5
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Brains (and RNNs) are noisy and it turns out this has mega implications for working memory🧠
Helping this project (my first in NeuroAI!) was a learning curve so I’m super grateful to @fatihdin4en and team for including me. Preprint: biorxiv.org/content/10.64898…
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
🧵 Thrilled to share our new paper, just out in @NatureComms! 🎉 BTSP is known to rapidly form place cellsin hippocampal CA1 via plateau potentials. Here, we found that BTSP isn't just for spatial maps. It works for non-spatial information too! 🧠⬇️
📄doi.org/10.1038/s41467-026-7…
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
It is tricky to characterize the features represented by human language cortex. This work is a step toward doing so.
Using small, interpretable feature sets, we explain language-network responses and show a shared feature basis across regions with variation across individuals.
This Post is from a suspended account. Learn more
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Information theory for hypergraph similarity | Science Advances science.org/doi/10.1126/scia…
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Consciousness, AI, and the Limits of Scientific Explanation
Bradley C. Love
arxiv.org/abs/2606.00226 [𝚚-𝚋𝚒𝚘.𝙽𝙲]
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
New paper in Imaging Neuroscience by Gabriel Riegner, Armin Schwartzman, et al:
Estimating fMRI timescale maps
doi.org/10.1162/IMAG.a.1248
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Now out in Imaging Neuroscience! The language network responds robustly to sentences across tasks
doi.org/10.1162/IMAG.a.1283
A left frontal-temporal network selectively supports language comprehension and production. Are computations in this language network driven primarily by bottom-up input, or by top-down task demands?
🧵👇
biorxiv.org/content/10.64898…
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Machine understanding
Feature Review by Huili Chen, Stephen R. Grimm, Olga Russakovsky (@orussakovsky), & Tania Lombrozo (@TaniaLombrozo)
tinyurl.com/mscnhvpn
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
New paper in Imaging Neuroscience by Greta Tuckute, Evelina Fedorenko, et al:
A 3.5-minute-long reading-based fMRI localizer for the language network
doi.org/10.1162/IMAG.a.1246
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
1/ We’re so glad to share this new study 💫
Does the brain learn like a Deep Net? 🧠⚙️
- 📄Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images
- 🔗arxiv.org/abs/2605.28693
Thread below 🧵
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
A Population-Level Divide In Human Sensitivity To Musical Harmony. A paper that has been in the works for a few years now showing a bimodal distribution in sensitivity to major/minor tone sequences.
osf.io/preprints/psyarxiv/7n…
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Attention in the wild: balancing flexibility and stability
Review by Maëlle Lerebourg (@MaelleLerebourg), Surya Gayet, Floris P. de Lange, & Marius V. Peelen (@MariusPeelen)
Free access before June 23: tinyurl.com/yrcm2b7v
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
Finally, today is the day: Josefine Zerbe will present and release our new multi-echo 7T fMRI dataset LAION-fMRI during #VSS2026, with >30 fMRI session per subject and unprecedented stimulus diversity. Come to Talk Room 1 (Scene perception) today at 5:15. Details after the talk!
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
How does language learning emerge from everyday experience? Our new preprint, led by @HRaviv830 offers a mechanistic answer.
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
🧠 Distinct resting-state connectomes for face and scene perception predict individual task performance.
I’m happy to share that our paper is now published in Human Brain Mapping!
🔗Read more:
doi.org/10.1002/hbm.70498
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
🎉 Excited to share our new paper in Nature: “Active Dissociation of Intracortical Spiking and High Gamma Activity.” 🧠
Huge thanks to my advisors first: @SlutzkyLab @joshuaiglaser
Paper link: nature.com/articles/s41586-0…
Here are some digests that walk you through the results 👇🏼
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
New @eLife publication from SWC Senior Research Fellow @MSableMeyer
Completed at Collège de France & @NeuroSpin_91 with @StanDehaene, the study explores the language of geometry and how we perceive shapes.
Blog: sainsburywellcome.org/blog/l…
Paper: elifesciences.org/articles/1…
ALT Geometric shapes in black, red, yellow and blue.
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
excited to share some recent work!
tldr; models trained on multi-view sensory data are the first to match human-level 3D shape perception—all zero shot, with no training on experimental data/images
project page: tzler.github.io/human_multiv…
1/🧠
Magdalena Kachlicka @mkachlicka.bsky.social retweeted
The making of number: from content to representation
Review by Andreas Nieder, tinyurl.com/kjtrkvmx
L1 English speakers who were better at understanding the accent werebetter at detecting pitch differences, remembering sound patterns & attending to pitch. Musical training also helped. Better speech perception was also linked to stronger neural encoding of speech harmonics.🧵4/5