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.
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Knoblauch, A., Markert, H., Palm, G. (2005). An Associative Cortical Model of Language Understanding and Action Planning. In: Mira, J., Álvarez, J.R. (eds) Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. IWINAC 2005. Lecture Notes in Computer Science, vol 3562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499305_42
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DOI: https://doi.org/10.1007/11499305_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26319-7
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