Abstract
The mechanism of self-indexing for feedback neural networks that generates memories from short subsequences is generalized so that a single bit together with an appropriate update order suffices for each memory. This mechanism explains how stimulating an appropriate neuron can recall a memory. Although information is distributed in this model, yet our self-indexing mechanism makes it appear localized. Also a new complex valued neuron model is presented to generalize McCulloch-Pitts neurons.
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Kak, S.C. State generators and complex neural memories. Pramana - J Phys 38, 271–278 (1992). https://doi.org/10.1007/BF02875373
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DOI: https://doi.org/10.1007/BF02875373