Abstract
A neural circuit model is presented that consists of a hierarchy of nested clusters of neuron-like elements. Each hierarchical level of cluster organisation encodes a different level of distributed memory. Associate memory properties within and between levels are investigated numerically in simple versions of the model. The results may provide insight into mechanisms of memory storage, recall and loss in real neural circuits, such as those found in the cerebral cortex.
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