An associative cortical model of language understanding and action planning

Authors:
Andreas Knoblauch;Heiner Markert;Günther Palm
Affiliations:
Department of Neural Information Processing, University of Ulm, Ulm, Germany;Department of Neural Information Processing, University of Ulm, Ulm, Germany;Department of Neural Information Processing, University of Ulm, Ulm, Germany
Venue:
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Year:
2005

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Abstract

The brain representations of words and their referent actions and objects appear to be strongly coupled neuronal assemblies distributed over several cortical areas. In this work we describe the implementation of a cell assembly-based model of several visual, language, planning, and motor areas to enable a robot to understand and react to simple spoken commands. The essential idea is that different cortical areas represent different aspects of the same entity, and that the long-range cortico-cortical projections represent hetero-associative memories that translate between these aspects or representations.