Neural Assemblies, an Alternative Approach to Artificial Intelligence
Neural Assemblies, an Alternative Approach to Artificial Intelligence
An associative cortical model of language understanding and action planning
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
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Hebbian cell assemblies have been proposed as a model for cortical processing able to bridge between physiology and psychology. Assembly-based theories focused mainly on representations and memory in form of auto-associative attractor states for entities and hetero-associative synfire chains (SFCs) for temporal memories. Here we present a straight and natural extension that also covers the organisation of potentially complex behaviour. We show simulations of a multi-area assembly network comprising simplified visual and motor systems linked by a frontal rule network. The latter binds specific motor responses to differently ordered sequences of input stimuli by means of generic context-dependent associative transitions between assemblies.