Magdalena Kachlicka @mkachlicka.bsky.social

🚨New paper🚨about accented speech perception doi.org/10.1016/j.band… by brilliant (MSc student at the time!) Amir Ghooch Kanloo accompanied by myself, @KazuyaSLA and @AdamTTierney from fun times at @audioneurolab @bbkpsychology 🧵1/5

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/language-… Paper: #s7" target="_blank" rel="nofollow noopener">elifesciences.org/articles/10646…

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_multiview 1/🧠

The making of number: from content to representation Review by Andreas Nieder, tinyurl.com/kjtrkvmx

@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

@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

🚨New paper🚨about accented speech perception doi.org/10.1016/j.band… by brilliant (MSc student at the time!) Amir Ghooch Kanloo accompanied by myself, @KazuyaSLA and @AdamTTierney from fun times at @audioneurolab @bbkpsychology 🧵1/5

@NadiehBremer Beautiful! 😍

📣 NEW! I’ve just released the BIGGEST and perhaps most creative project I’ve ever worked on! “Searching for Birds” searchingforbirds.visualcinnamon.com 🐤 A #dataviz article & exploration that dives into the data that connects humans with birds, by looking at how we search for birds.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗻𝗼𝗶𝘀𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻? Almost always we average responses thus equating response variability with noise. Well, we shouldn't because variability is also signal, not noise to be entirely discarded. doi.org/10.1016/j.neur…

@DavidJBrang This is super cool, thanks for sharing! 🧠🩷

Interpreting EEG requires understanding how the skull smears electrical fields as they propagate from the cortex. I made a browser-based simulator for my EEG class to visualize how dipole depth/orientation change the topomap dbrang.github.io/EEG-Dipole-Dem… Github: github.com/dbrang/EEG-Dip…

The cerebellum supports high-level language?? Now out in @NeuroCellPress, we systematically examined language-responsive areas of the cerebellum using precision fMRI and identified a *cerebellar satellite* of the neocortical language network! authors.elsevier.com/a/1mUU83BtfHC-… 1/n🧵👇

New work from our lab showing the human frontal lobe receives fast, low-level speech information in parallel with early speech areas! doi.org/10.1038/s41467…

Disambiguating dimensions of 'external' and 'internal' brain processes. Check our Forum article in @TrendsNeuro on concepts and open question in this burgeoning area of research, with @DanielaGresch and @KiaNobre. Open Access until 7 Dec at: authors.elsevier.com/a/1lygsbotq7nmD

CogNeuroLanguage: new by @lauragwilliams.bsky.social & @jeanremiking.bsky.social (w Alec Marantz & me) shows how the brain maintains-updates continuously unfolding lang hierarchy during comprehension, anchoring ling theories to biological implementation pnas.org/doi/10.1073/pn…

Applications for the summer school on statistical methods for linguistics and psychology (Potsdam, Germany) are now open: vasishth.github.io/smlp2026/

I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @USC will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.

Human auditory cortex integrates information in speech across absolute time (e.g., 200 ms), not phonemes, syllables, words, or any other time-varying speech structure: nature.com/articles/s4159…

Humans largely learn language through speech. In contrast, most LLMs learn from pre-tokenized text. In our #Interspeech2025 paper, we introduce AuriStream: a simple, causal model that learns phoneme, word & semantic information from speech. Poster P6, Aug 19 at 13:30, Foyer 2.2!

In contrast to most LLMs, which learn from pre-tokenized texts, this AuriStream tool is a biologically inspired model for encoding speech that learns from cochlear tokens isca-archive.org/interspeech_20… 🤔This could help to generate LLMs for minority languages