Energy efficiency through neuromorphism

Jani Mäkipää, Markku Åberg

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Biological systems are energy efficient in their information processing. These systems use techniques different from conventional artificial electronic systems to achieve this. Concepts found in in neurobiological systems can be exploited to build faster, more energy efficient and robust electronic systems. It also seems possible that these concepts can be replicated on silicon. Properties and concepts of neural systems are discussed here to give the basic understanding of these systems and possibilities there are in making use of them. Also link between Shannon's Theorem and biological information processing is shortly discussed.
    Original languageEnglish
    Title of host publicationProceedings of the 9th Biennial Baltic Electronics Conference
    Subtitle of host publicationTallinn, Estonia, 4-6 October 2004
    PublisherTallinn University of Technology
    Pages133-136
    ISBN (Print)9985-59462-2, 978-9985-59462-9
    Publication statusPublished - 2004
    MoE publication typeA4 Article in a conference publication

    Keywords

    • parallelism
    • neuromorphism
    • ada

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  • Cite this

    Mäkipää, J., & Åberg, M. (2004). Energy efficiency through neuromorphism. In Proceedings of the 9th Biennial Baltic Electronics Conference: Tallinn, Estonia, 4-6 October 2004 (pp. 133-136). Tallinn University of Technology.