Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

A sequence of images, sounds, or words can be stored at several levels of detail, from
specific items and their timing to abstract structure. We propose a taxonomy of five distinct …

Cognitive developmental robotics (CDR) aims to provide new understanding of how
human's higher cognitive functions develop by means of a synthetic approach that …

Sentence processing takes place in real-time. Previous words in the sentence can influence
the processing of the current word in the timescale of hundreds of milliseconds. Recent …

Cognitive gadgets are distinctively human cognitive mechanisms–such as imitation, mind
reading, and language–that have been shaped by cultural rather than genetic evolution …

Reservoir computing (RC), first applied to temporal signal processing, is a recurrent neural
network in which neurons are randomly connected. Once initialized, the connection …

We investigated how auditory language processing is modified by a listener's previous
experience with the specific activities mentioned in the speech. In particular, we asked …

The role of corticostriatal circuits in language functions is unclear. In this review, we consider
evidence from language learning, syntax, and controlled language production and …

The characteristic organization of cortex, basal ganglia and thalamus can be considered a
“canonical” macro-circuit of the primate brain. The intact function of the system requires …

Over the past decades, research employing artificial grammar, sequence learning, and
statistical learning paradigms has flourished, not least because these methods appear to …