Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …

An important aspect of animal perception and cognition is learning to recognize
relationships between environmental events that predict others in time, a form of relational …

Learning and processing natural language requires the ability to track syntactic relationships
between words and phrases in a sentence, which are often separated by intervening …

Our ability to make sense of the auditory world results from neural processing that begins in
the ear, goes through multiple subcortical areas, and continues in the cortex. The specific …

Statistical learning (SL) is a method of learning based on the transitional probabilities
embedded in sequential phenomena such as music and language. It has been considered …

To learn words, humans extract statistical regularities from speech. Multiple species use
statistical learning also to process speech, but the neural underpinnings of speech …

Learning complex ordering relationships between sensory events in a sequence is
fundamental for animal perception and human communication. While it is known that …

Memory, on multiple timescales, is critical to our ability to discover the structure of our
surroundings, and efficiently interact with the environment. We combined behavioural …

Abstract Language flexibly supports the human ability to communicate using different
sensory modalities, such as writing and reading in the visual modality and speaking and …

Introduction Human language allows us to generate an infinite number of linguistic
expressions. It's proposed that this competence is based on a binary syntactic operation …