Skip to content
What our brain hears beyond words
FEATURED NEWS
lignes en zigzag slider
What our brain hears beyond words

How do we know that a sentence was said by a woman? How do we know that what she told us was a question? Researchers from the University of Zurich and the NCCR Evolving Language described the complex processes happening in our brain, that allow us to understand the information contained in pitch. 

previous arrow
next arrow
Exploring the past, present and future of language

The Swiss National Centre of Competence in Research (NCCR) Evolving Language is a nationwide interdisciplinary research consortium bringing together research groups from the humanities, from language and computer science, the social sciences, and the natural sciences at an unprecedented level. Together, we aim at solving one of humanity’s great mysteries: What is language? How did our species develop the ca­pa­city for linguistic expression, for processing language in the brain, and for con­sist­ently passing down new variations to the next generation? How will our capacity for language change in the face of digital com­munication and neuroengineering?

Upcoming events

  • 2761706 BJF6E7RS 1 apa-6th-edition 1 date desc 2 https://evolvinglanguage.ch/wp-content/plugins/zotpress/
    %7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22UZ6Z25NT%22%2C%22library%22%3A%7B%22id%22%3A2761706%7D%2C%22meta%22%3A%7B%22lastModifiedByUser%22%3A%7B%22id%22%3A6235216%2C%22username%22%3A%22CeliaLazzarotto%22%2C%22name%22%3A%22%22%2C%22links%22%3A%7B%22alternate%22%3A%7B%22href%22%3A%22https%3A%5C%2F%5C%2Fwww.zotero.org%5C%2Fcelialazzarotto%22%2C%22type%22%3A%22text%5C%2Fhtml%22%7D%7D%7D%2C%22creatorSummary%22%3A%22Bouton%20et%20al.%22%2C%22parsedDate%22%3A%222026-02-17%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBouton%2C%20S.%2C%20Chambon%2C%20V.%2C%20Golestani%2C%20N.%2C%20Formisano%2C%20E.%2C%20Proix%2C%20T.%2C%20%26amp%3B%20Giraud%2C%20A.-L.%20%282026%29.%20Aligning%20statistical%20models%20with%20inference%20goals%20in%20the%20neuroscience%20of%20language%3A%20A%20dual-dependency%20taxonomy.%20%26lt%3Bi%26gt%3BImaging%20Neuroscience%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B4%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1162%5C%2Fimag.a.1132%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1162%5C%2Fimag.a.1132%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Aligning%20statistical%20models%20with%20inference%20goals%20in%20the%20neuroscience%20of%20language%3A%20A%20dual-dependency%20taxonomy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Bouton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Val%5Cu00e9rian%22%2C%22lastName%22%3A%22Chambon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Narly%22%2C%22lastName%22%3A%22Golestani%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elia%22%2C%22lastName%22%3A%22Formisano%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Timoth%5Cu00e9e%22%2C%22lastName%22%3A%22Proix%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anne-Lise%22%2C%22lastName%22%3A%22Giraud%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222026-02-17%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1162%5C%2Fimag.a.1132%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fdx.doi.org%5C%2F10.1162%5C%2FIMAG.a.1132%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22BJF6E7RS%22%5D%2C%22dateModified%22%3A%222026-02-25T08%3A36%3A27Z%22%7D%7D%5D%7D
    Bouton, S., Chambon, V., Golestani, N., Formisano, E., Proix, T., & Giraud, A.-L. (2026). Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. Imaging Neuroscience, 4. https://doi.org/10.1162/imag.a.1132
    > All publications

Upcoming Events

Our Network

Map institutions 20240910

Evolving Language is led by Balthasar Bickel (Institute for the Interdisciplinary Study of Language Evolution (ISLE), UZH), Nina Kazanina (Department of Basic Neurosciences, UNIGE) and Klaus Zuberbühler (Institute of Biology, UNINE). Over 40 research groups across Switzerland are taking part in this NCCR, from 9 different institutions as well as partners in industry (Google AI, Sonova) and public organisations. The project has 3 leading houses: the University of Zurich, the University of Geneva and the University of Neuchâtel.

Leading house

logo uzh

Co-leading houses

unige
unine_logo_couleur

Funding agency

SNF_Logo_RGB_Standard_En_pos_R

Partners

NCCR Research Facilities

world-pacific-nccr-station 2025 V1