Commenced in January 2007
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Edition: International
Paper Count: 33122
Learning Block Memories with Metric Networks
Authors: Mario Gonzalez, David Dominguez, Francisco B. Rodriguez
Abstract:
An attractor neural network on the small-world topology is studied. A learning pattern is presented to the network, then a stimulus carrying local information is applied to the neurons and the retrieval of block-like structure is investigated. A synaptic noise decreases the memory capability. The change of stability from local to global attractors is shown to depend on the long-range character of the network connectivity.Keywords: Hebbian learning, image recognition, small world, spatial information.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1327945
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