Simon William Townsend

This study demonstrates that chimpanzees exhibit non-trivial compositionality by responding faster to call sequences from a single source, suggesting integrated meaning rather than independent utterances.

This study shows nonhuman primates use supra-regular recursive grammars in vocal sequences, challenging the idea that syntax is unique to humans.

This paper introduces MDCA-Pr, a method for analyzing animal signal combinations, showing it improves statistical rigor and enables accurate comparisons between cohorts.

The paper quantitatively describes the vocal repertoire of wild bonobos using machine learning to classify 11 acoustically distinct call types from over 1500 calls.

This study examines chimpanzee gesture sequences to determine if they show non-random combinations and how predictability is influenced by combinatorial rules.

The paper investigates how brain regions supporting non-adjacent dependency learning develop in infants using fNIRS, finding left-hemispheric networks emerge and strengthen with auditory input.