Kathleen Hamilton, Prasanna Date, Bill Kay and Catherine D. Schuman

July, 2020

ICONS: International Conference on Neuromorphic Systems

https://dl.acm.org/doi/10.1145/3407197.3407219

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Abstract

The Susceptible-Infected-Recovered/Removed model is a standard model for epidemiological spread of disease through vulnerable populations. In this paper we show how SIR network dynamics can be implemented using spiking neurons.

Citation Information

Text

author         K. Hamilton and P. Date and B. Kay and C. D. Schuman
title          Modeling epidemic spread with spike-based models
booktitle      International Conference on Neuromorphic Computing Systems (ICONS)
publisher      ACM
month          July
year           2020
doi            10.1145/3407197.3407219
url            https://dl.acm.org/doi/10.1145/3407197.3407219

Bibtex

@INPROCEEDINGS{hdk:20:mes,
    author = "K. Hamilton and P. Date and B. Kay and C. D. Schuman",
    title = "Modeling epidemic spread with spike-based models",
    booktitle = "International Conference on Neuromorphic Computing Systems (ICONS)",
    publisher = "ACM",
    month = "July",
    year = "2020",
    doi = "10.1145/3407197.3407219",
    url = "https://dl.acm.org/doi/10.1145/3407197.3407219"
}