A model of computation in neocortical architecture
Neural Networks - Special issue on organisation of computation in brain-like systems
Feedforward, feedback and inhibitory connections in primate visual cortex
Neural Networks - 2004 Special issue Vision and brain
A cell assembly based model for the cortical microcircuitry
Neurocomputing
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We describe the simulation of a layered cortex model based on the cortical column as a generic local processor. It simulates the signal flow in the layers I-IV of a set of model columns across three hierarchical cortical areas. It demonstrates the fast formation of an initial stimulus hypothesis, and its subsequent refinement by inter-columnar communication. In this prototype simulation, we implement word recognition from a string of characters. The three cortical areas represent letters, syllables, and words, used as a metaphor for visual stimuli. Focusing on the intra- and inter-columnar dynamics, we show how the different processing subsystems interact in order to switch off expected signals and accomplish symbolic recognition of words, and how representations for new words can be constructed based on old representations (self-reference).