Connectionist and dynamical systems approaches explain human thought, language and
behavior in terms of the emergent consequences of a large number of simple noncognitive …

Intelligent robots need to recognize objects in their environment. This task is conceptually
different from the typical image classification task in computer vision. Robots need to …

Because cognitive competences emerge in evolution and development from the sensory-
motor domain, we seek a neural process account for higher cognition in which all …

As two alternative options in a forced choice task are separated by design, two classes of
computational models of decision-making have thrived independently in the literature for …

How does the human brain link relational concepts to perceptual experience? For example,
a speaker may say “the cup to the left of the computer” to direct the listener's attention to one …

The ability to accurately retain the binding between the features of different objects is a
critical element of visual working memory. The underlying mechanism can be elucidated by …

How situated embodied agents may achieve goals using knowledge is the classical
question of natural and artificial intelligence. How organisms achieve this with their nervous …

There is consensus that activation within distributed functional brain networks underlies
human thought. The impact of this consensus is limited, however, by a gap that exists …

We present a neural dynamic model that perceptually grounds nested noun phrases, that is,
noun phrases that contain further (possibly also nested) noun phrases as parts. The model …

We present a neural dynamic architecture that grounds sentences in perception which
combine multiple concepts through nested spatial relations. Grounding entails that the …