An ultra-low-power pseudo-random number generator based on biologically inspired chaotic silicon neuron circuit

Vinaya L. Shrestha; Qingyun Ma; Mohammad R. Haider; Yehia Massoud

doi:10.1587/elex.9.1756

An ultra-low-power pseudo-random number generator based on biologically inspired chaotic silicon neuron circuit

Vinaya L. Shrestha, Qingyun Ma, Mohammad R. Haider, Yehia Massoud

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This work presents an ultra-low-power, biologically inspired pseudo-random number generator based on the Hodgkin-Huxley silicon neuron circuit. The chaotic phenomenon observed in neurons is exploited to generate random numbers. The random sequence generated by the proposed system passed the statistical tests specified by Federal Information Processing Standard. The proposed random number generator circuit provides an ultra-low-power alternative for pseudo-random number generation with 180nW power consumption. © IEICE 2012.

Original language	English (US)
Pages (from-to)	1756-1761
Number of pages	6
Journal	IEICE Electronics Express
Volume	9
Issue number	22
DOIs	https://doi.org/10.1587/elex.9.1756
State	Published - Jan 1 2012
Externally published	Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering
Condensed Matter Physics

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10.1587/elex.9.1756

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An ultra-low-power pseudo-random number generator based on biologically inspired chaotic silicon neuron circuit

Abstract

ASJC Scopus subject areas

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