Silicon implementation of the generalized integrate-and-fire neuron model

Tara Julia Hamilton, André van Schaik

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    2 Citations (Scopus)

    Abstract

    ![CDATA[In this paper we present the design, implementation and preliminary results from a silicon neuron (SiN) based on the generalized integrate-and-fire neuron model. The SiN is integrated onto a chip with a number of similar SiNs. In this paper we show the results from a single neuron, however, in the future it is our aim to show that real-time, low-power and highly configurable spiking neural networks are feasible on silicon chips.]]
    Original languageEnglish
    Title of host publicationProceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011), 6-9 December 2011, Adelaide, South Australia
    PublisherIEEE
    Pages108-112
    Number of pages5
    ISBN (Print)9781457706752
    DOIs
    Publication statusPublished - 2011
    EventIntelligent Sensors_Sensor Networks & Information Processing Conference -
    Duration: 6 Dec 2011 → …

    Conference

    ConferenceIntelligent Sensors_Sensor Networks & Information Processing Conference
    Period6/12/11 → …

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