CNN cell with memcapacitive synapses and threshold control circuit

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    Abstract

    This paper presents a concept of a solid-state memcapacitor based on a combination of memristor and capacitor, as well as its applications to cellular nanoscale networks. In addition to ultra-dense memories, memcapacitors can also be used for synaptic connections and threshold control in arrays with capacitively coupled processing units. In principle, the proposed CNN cell structure implements the basic McCulloch-Pitts neuron model. Although the cell relies on the binary programmability scheme with single-bit template coefficients, the proposed memcapacitive synapses allow for asynchronous processing of tasks, for which the traditional cloning templates contain both positive and negative values
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publication13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages5
    ISBN (Electronic)978-1-4673-0289-0
    ISBN (Print)978-1-4673-0287-6
    DOIs
    Publication statusPublished - 2012
    MoE publication typeA4 Article in a conference publication
    Event
    13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
    - Turin, Italy
    Duration: 29 Aug 201231 Aug 2012

    Conference

    Conference
    13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
    Abbreviated titleCNNA 2012
    CountryItaly
    CityTurin
    Period29/08/1231/08/12

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    Cite this

    Flak, J. (2012). CNN cell with memcapacitive synapses and threshold control circuit. In Proceedings: 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 [6331414] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/CNNA.2012.6331414