Lattice based dendritic computing: A biomimetic approach to ANNs

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Abstract

This paper presents an overview of the current status of lattice based dendritic computing. Roughly speaking, lattice based dendritic computing refers to a biomimetic approach to artificial neural networks whose computational aspects are based on lattice group operations. We begin our presentation by discussing some important processes of biological neurons followed by a biomimetic model which implements these processes. We discuss the reasons and rationale behind this approach and illustrate the methodology with some examples. Global activities in this field as well as some potential research issues are also part of this discussion.

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APA

Ritter, G. X., & Urcid, G. (2014). Lattice based dendritic computing: A biomimetic approach to ANNs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 730–744). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_89

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