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We investigate the pattern completion performance of neural auto-associative memories composed of binary threshold neurons for sparsely coded binary memory patterns. By focusing on iterative retrieval, we are able to introduce effective threshold control strategies. These are investigated by means of computer simulation experiments and analytical treatment. To evaluate the systems performance we...
In the present letter, the authors propose a model of hierarchical concept formation in auto-associative memory composed of neuro-window elements. When hierarchically correlated patterns are memorized, each center of the correlated memory patterns can be defined as a concept pattern which represents those similar patterns. It is shown that the concept patterns are formed under a Hebbian learning rule...
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