Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Affordances, motivations, and the world graph theory
Adaptive Behavior - Special issue on biologically inspired models of navigation
Modeling parietal-premotor interactions in primate control of grasping
Neural Networks - Special issue on neural control and robotics: biology and technology
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Extending the mirror neuron system model, I: Audible actions and invisible grasps
Biological Cybernetics
Semiotic schemas: A framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
Sensorimotor transformations in the worlds of frogs and robots
Artificial Intelligence
Hierarchy in fluid construction grammars
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
From mirror neurons to computational neurolinguistics
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
From mirror writing to mirror neurons
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
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The general setting for our work is to locate language perception and production within the broader context of brain mechanisms for action and perception in general, modeling brain function in terms of the competition and cooperation of schemas. Particular emphasis is placed on mirror neurons - neurons active both for execution of a certain class of actions and for recognition of a (possibly broader) class of similar actions. We build on the early VISIONS model of schema-based computer analysis of static scenes to present SemRep, a graphical representation of dynamic visual scenes designed to support the generation of varied descriptions of episodes. Mechanisms for parsing and production of sentences are currently being implemented within Template Construction Grammar (TCG), a new form of construction grammar distinguished by its use of SemRep to express semantics.