Abstract
We present a novel hetero-associative memory based on dendritic neural computation. The computations in this model are based on lattice group operations. The proposed model does not suffer from the usual storage capacity problem and is extremely robust in the presence of various types of noise and data corruption.
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Ritter, G.X., Chyzhyk, D., Urcid, G., Graña, M. (2012). A Novel Lattice Associative Memory Based on Dendritic Computing. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_47
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DOI: https://doi.org/10.1007/978-3-642-28931-6_47
Publisher Name: Springer, Berlin, Heidelberg
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