Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

The present article surveys the field of biolinguistics. It revisits the roots of the field's core
research agenda, then turns to the various factors that led to its recent re-emergence, and …

" Introduction There are numerous neurobiological models of language, ranging from those
concerned with speech perception, white matter structure, and the function of dorsal and …

Many animals produce vocal sequences that appear complex. Most researchers assume
that these sequences are well characterized as Markov chains (ie that the probability of a …

The amount of crime to which individuals are exposed on a daily basis is growing, resulting
in increased anxiety about being alone in some public places. Fear of crime usually results …

Biolinguistics will have to face and resolve several problems before it can achieve a pivotal
position in the human sciences. Its relationship to the Minimalist Program is ambiguous …

Human language is proposed to be hierarchically constructed according to syntactic
information. Studies on languages with overt morphosyntactic markers (eg, German) have …

The understanding of language plays a key role in video grounding, where a target moment
is localized according to a text query. From a biological point of view, language is naturally …

Grammar is central to any natural language. In the past decades, the artificial grammar of the
AnBn type in which a pair of associated elements can be nested in the other pair was …

Hyperbolic embeddings achieve excellent performance when embedding hierarchical data
structures like synonym or type hierarchies, but they can be limited by numerical error when …