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.
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CITATION STYLE
APA
Hamilton, K., Date, P., Kay, B., & Schuman D., C. (2020). Modeling epidemic spread with spike-based models. In ACM International Conference Proceeding Series. Association for Computing Machinery. https://doi.org/10.1145/3407197.3407219
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