Learning to decode and produce speech is one of the most demanding tasks faced by
infants. Nevertheless, infants typically utter their first words within a year, and phrases soon …

Measuring brain activity in developmental populations remains a major challenge despite
great technological advances. Among the numerous available methods, functional near …

Extracting statistical regularities from the environment is a primary learning mechanism that
might support language acquisition. While it has been shown that infants are sensitive to …

Experience with spoken language starts prenatally, as hearing becomes operational during
the second half of gestation. While maternal tissues filter out many aspects of speech, they …

Before infants can learn words, they must identify those words in continuous speech. Yet, the
speech signal lacks obvious boundary markers, which poses a potential problem for …

The first 1,000 days of life are a critical window of vulnerability to exposure to socioeconomic
and health challenges (ie poverty/undernutrition). The Brain Imaging for Global Health …

Functional near-infrared spectroscopy (fNIRS) has been applied in educational studies
during the past decade, arousing tremendous attention, but lack of a systematic review …

Statistical structure abounds in language. Human infants show a striking capacity for using
statistical learning (SL) to extract regularities in their linguistic environments, a process …

In this work we ask whether at birth, the human brain responds uniquely to speech, or if
similar activation also occurs to a non‐speech surrogate 'language'. We compare neural …

In language, the relative order of words in sentences carries important grammatical
functions. However, the developmental origins and the neural correlates of the ability to track …