Minimizing communication power using near-neighbor axon-inspired lattices

Valeriu Beiu, Liren Zhang, Walid Ibrahim, Mihai Tache

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    By far the most daunting task facing nano-electronics are the wires, being at the heart of power/energy consumption, as: (i) their numbers are increasing exponentially (as each device needs a few wires); and (ii) they do not scale well for quite some time (their parasitic capacitances and RC-delays are not scaling in synch with devices). Innovations on both classical (i.e., based-on-wires, hence evolutionary) as well as on advanced (i.e., without-wire/beyond-wire, hence revolutionary) communication schemes are urgently needed. Trying to find inspiration from the neurons, we investigate here how axons are able to communicate at quite large distances on a very limited power budget. In particular, the paper analyzes axon-inspired communications as dense locally-connected arrays/lattices of voltage-gated (i.e., non-linear) ion channels. The theoretical results presented here suggest that hexagonal (or hex-connected) arrays would be the least power hungry ones.

    Original languageEnglish
    Title of host publication2011 11th IEEE International Conference on Nanotechnology, NANO 2011
    Pages426-430
    Number of pages5
    DOIs
    Publication statusPublished - 2011
    Event2011 11th IEEE International Conference on Nanotechnology, NANO 2011 - Portland, OR, United States
    Duration: Aug 15 2011Aug 19 2011

    Publication series

    NameProceedings of the IEEE Conference on Nanotechnology
    ISSN (Print)1944-9399
    ISSN (Electronic)1944-9380

    Other

    Other2011 11th IEEE International Conference on Nanotechnology, NANO 2011
    Country/TerritoryUnited States
    CityPortland, OR
    Period8/15/118/19/11

    Keywords

    • Action potential
    • axon
    • cellular array
    • communication
    • ion channel

    ASJC Scopus subject areas

    • Bioengineering
    • Electrical and Electronic Engineering
    • Materials Chemistry
    • Condensed Matter Physics

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