Magdalena Kachlicka @mkachlicka.bsky.social

Postdoctoral Researcher & HRF @bbkpsychology @audioneurolab | speech+sounds+brains 🧠 cogsci, audio, neuroimaging, language, methods

[Magdalena Kachlicka @mkachlicka.bsky.social @mkachlicka]

🚨New paper🚨about accented speech perception https://t.co/4TdjNKzonj by brilliant (MSc student at the time!) Amir Ghooch Kanloo accompanied by myself, @KazuyaSLA and @AdamTTierney from fun times at @audioneurolab @bbkpsychology 🧵1/5

[NetScience @net_science]

Information theory for hypergraph similarity | Science Advances https://t.co/09a7pEi5SU

[Quantitative Biology (Neurons and Cognition) @BioPapers]

Consciousness, AI, and the Limits of Scientific Explanation

Bradley C. Love
https://t.co/GovR4QFZHf [𝚚-𝚋𝚒𝚘.𝙽𝙲]

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience by Gabriel Riegner, Armin Schwartzman, et al:

Estimating fMRI timescale maps

https://t.co/elUrWPJ2BI

[Anna Ivanova @neuranna]

Now out in Imaging Neuroscience! The language network responds robustly to sentences across tasks
https://t.co/zNXh4cWbTD

[Trends in Cognitive Sciences @TrendsCognSci]

Machine understanding

Feature Review by Huili Chen, Stephen R. Grimm, Olga Russakovsky (@orussakovsky), & Tania Lombrozo (@TaniaLombrozo)

https://t.co/1l6KnKwBxP

[Imaging Neuroscience @ImagingNeurosci]

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

https://t.co/VE2QwPVdDn

[Joséphine Raugel @JRaugel]

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
- 🔗https://t.co/yrb4otBEYk
Thread below 🧵

[Gregory Hickok @GregoryHickok]

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.

https://t.co/clrFhJRa4c

[Trends in Cognitive Sciences @TrendsCognSci]

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: https://t.co/XOWF0fabW8

[Martin Hebart @martin_hebart]

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!

[Hasson Lab @HassonLab]

How does language learning emerge from everyday experience? Our new preprint, led by @HRaviv830 offers a mechanistic answer.

[Orhan Soyuhos @orhansoyuhos]

🧠 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:
https://t.co/cN18dSMsTe

[Tianhao Lei @TH_Alec_Lei]

🎉 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: https://t.co/awTJn2uLTf
Here are some digests that walk you through the results 👇🏼

[SWC @SWC_Neuro]

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: https://t.co/nCdH2d7OOG

Paper: https://t.co/oABBTj9xci

[tyler bonnen @tylerraye]

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: https://t.co/cxTQQxfmO8

1/🧠

[Trends in Cognitive Sciences @TrendsCognSci]

The making of number: from content to representation

Review by Andreas Nieder, https://t.co/H3t3WwLqSQ

[Magdalena Kachlicka @mkachlicka.bsky.social @mkachlicka]

@KazuyaSLA @AdamTTierney @audioneurolab @bbkpsychology Together, these results suggest that the precision with which people perceive and remember sound patterns plays a major role in how well they understand accented speech, and that auditory training may help listeners who struggle. 🧵5/5

[Magdalena Kachlicka @mkachlicka.bsky.social @mkachlicka]

🚨New paper🚨about accented speech perception https://t.co/4TdjNKzonj 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 @mkachlicka]

@KazuyaSLA @AdamTTierney @audioneurolab @bbkpsychology 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