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Lattice Neural Networks with Spike Trains

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Hybrid Artificial Intelligence Systems (HAIS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6077))

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Abstract

Lattice based neural networks have proven their capability of resolving difficult non-linear problems and have been successfully employed to resolve real-world problems. In this paper we introduce a novel lattice neural net that generalizes previous dendritic models. The new model employs the biological notion of dendritic spines and spike trains. We show by example that it can accomplish tasks previous lattice neural networks were incapable of achieving.

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References

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Ritter, G.X., Urcid, G. (2010). Lattice Neural Networks with Spike Trains. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_46

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  • DOI: https://doi.org/10.1007/978-3-642-13803-4_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13802-7

  • Online ISBN: 978-3-642-13803-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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