We are a reading group meeting regularly to discuss papers on speech-based deep learning models and their use in modelling human speech processing and acquisition!

The 3rd call is now open with a submission deadline on 9 November 2026 17:00 (CET).

Here, the authors show that aging affects brain networks differently, with neural changes mirroring the preservation or decline of the cognitive functions they support. The multiple demand network exh...

Using functional magnetic resonance imaging (fMRI) data from more than 700 people, MIT researchers identified 17 brain regions outside of the canonical language-processing centers that are also involv...

The brain’s capacity to use and understand language expands rapidly in the first years of life. But by age 4, language processing is already handled by the left side of the brain, as in adults, accord...

MIT researchers develop automated pipeline that generates child-friendly audiovisual stimuli in minutes instead of weeks

Norm, the formal theoretical linguist, and Claudette, the computational language scientist, have a lovely time discussing whether modern language models can inform important questions in the language ...

From automating developmental neuroscience studies to facilitating LLM "brainstorming" sessions, this spring, the MIT Siegel Family Quest for Intelligence supported research across neuroscience, AI, a...

YouTube video by IbanDlank

For more than a century, scientists studying how the brain processes language have focused their attention on the cerebral cortex, specifically the left frontal and temporal lobes. But a new […]

Han and Bonner reveal that individual visual experience arises from high-dimensional neural geometry distributed across multiple representational scales. By characterizing the full dimensional spectru...

During successful language comprehension, speech sounds (phonemes) are encoded within a series of neural patterns that evolve over time. Here we tested whether these neural dynamics of speech encoding...