Stochastic Resonance and Finite Resolution in a Leaky Integrate-and-Fire Neuron

Nhamo Mtetwa; Leslie S. Smith; Amir Hussain

Stochastic Resonance and Finite Resolution in a Leaky Integrate-and-Fire Neuron

Nhamo Mtetwa
, Leslie S. Smith
, Amir Hussain

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

This paper discusses the effect of stochastic resonance (SR) in a leaky integrate-and-fire (LIF) neuron and investigates its realisation on low resolution digitally implemented systems. We report in this new study that stochastic resonance which is mainly associated with floating point implementations is possible on lower resolution integer based representations which result in real-time performance on digital hardware.

Original language	English
Pages	343-348
Number of pages	6
State	Published - 2002
Externally published	Yes
Event	10th European Symposium on Artificial Neural Networks, ESANN 2002 - Bruges, Belgium Duration: 24 Apr 2002 → 26 Apr 2002

Conference

Conference	10th European Symposium on Artificial Neural Networks, ESANN 2002
Country/Territory	Belgium
City	Bruges
Period	24/04/02 → 26/04/02

Bibliographical note

Publisher Copyright:
© ESANN 2002.

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Cite this

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title = "Stochastic Resonance and Finite Resolution in a Leaky Integrate-and-Fire Neuron",

abstract = "This paper discusses the effect of stochastic resonance (SR) in a leaky integrate-and-fire (LIF) neuron and investigates its realisation on low resolution digitally implemented systems. We report in this new study that stochastic resonance which is mainly associated with floating point implementations is possible on lower resolution integer based representations which result in real-time performance on digital hardware.",

author = "Nhamo Mtetwa and Smith, \{Leslie S.\} and Amir Hussain",

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year = "2002",

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pages = "343--348",

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T1 - Stochastic Resonance and Finite Resolution in a Leaky Integrate-and-Fire Neuron

AU - Mtetwa, Nhamo

AU - Smith, Leslie S.

AU - Hussain, Amir

PY - 2002

Y1 - 2002

N2 - This paper discusses the effect of stochastic resonance (SR) in a leaky integrate-and-fire (LIF) neuron and investigates its realisation on low resolution digitally implemented systems. We report in this new study that stochastic resonance which is mainly associated with floating point implementations is possible on lower resolution integer based representations which result in real-time performance on digital hardware.

AB - This paper discusses the effect of stochastic resonance (SR) in a leaky integrate-and-fire (LIF) neuron and investigates its realisation on low resolution digitally implemented systems. We report in this new study that stochastic resonance which is mainly associated with floating point implementations is possible on lower resolution integer based representations which result in real-time performance on digital hardware.

UR - https://www.scopus.com/pages/publications/105034840982

M3 - Paper

AN - SCOPUS:105034840982

SP - 343

EP - 348

T2 - 10th European Symposium on Artificial Neural Networks, ESANN 2002

Y2 - 24 April 2002 through 26 April 2002

ER -

Stochastic Resonance and Finite Resolution in a Leaky Integrate-and-Fire Neuron

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this