Fascinating Rhythms by Chaotic Hopfield Networks
This papers aims to introduce a new way to store inputs in the network. By this way, it appears that the spontaneous dynamics of the network will increase in complexity by increasing the size of the learning set. This experimental work might give additional support to the Skarda and Freeman strong intuition that chaos should play an important role in the storage and the search capacities of our brains. An analysis of the type of chaos exploited to code these inputs will be related with the “frustrated chaos” described in previous papers. A live demonstration can be shown where rhythms and melodies associated with the dynamics can be heard.
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