A log-domain implementation of the Izhikevich neuron model

André Van Schaik; Craig Jin; Alistair McEwan; Tara Hamilton

doi:10.1109/ISCAS.2010.5537564

A log-domain implementation of the Izhikevich neuron model

André Van Schaik
, Craig Jin
, Alistair McEwan
, Tara Hamilton

The University of Sydney
University of New South Wales

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

49 Citations (Scopus)

Abstract

We present an implementation of the Izhikevich neuron model which uses two first-order log-domain low-pass filters and two translinear multipliers. The neuron consists of a leaky-integrate-and-fire core, a slow adaptive state variable and quadratic positive feedback. Simulation results show that this neuron can emulate different spiking behaviours observed in biological neurons.

Original language	English
Title of host publication	ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publication	Nano-Bio Circuit Fabrics and Systems
Pages	4253-4256
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2010.5537564
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France Duration: 30 May 2010 → 2 Jun 2010

Publication series

Name	ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Conference

Conference	2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Country/Territory	France
City	Paris
Period	30/05/10 → 2/06/10

Access to Document

10.1109/ISCAS.2010.5537564

Cite this

Van Schaik, A., Jin, C., McEwan, A., & Hamilton, T. (2010). A log-domain implementation of the Izhikevich neuron model. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems (pp. 4253-4256). Article 5537564 (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). https://doi.org/10.1109/ISCAS.2010.5537564

@inproceedings{e2884bf34fe94b2d83e5848c719c4856,

title = "A log-domain implementation of the Izhikevich neuron model",

abstract = "We present an implementation of the Izhikevich neuron model which uses two first-order log-domain low-pass filters and two translinear multipliers. The neuron consists of a leaky-integrate-and-fire core, a slow adaptive state variable and quadratic positive feedback. Simulation results show that this neuron can emulate different spiking behaviours observed in biological neurons.",

author = "\{Van Schaik\}, Andr{\'e} and Craig Jin and Alistair McEwan and Tara Hamilton",

year = "2010",

doi = "10.1109/ISCAS.2010.5537564",

language = "English",

isbn = "9781424453085",

series = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems",

pages = "4253--4256",

booktitle = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems",

note = "2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 ; Conference date: 30-05-2010 Through 02-06-2010",

}

Van Schaik, A, Jin, C, McEwan, A & Hamilton, T 2010, A log-domain implementation of the Izhikevich neuron model. in ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems., 5537564, ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, pp. 4253-4256, 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010, Paris, France, 30/05/10. https://doi.org/10.1109/ISCAS.2010.5537564

A log-domain implementation of the Izhikevich neuron model. / Van Schaik, André; Jin, Craig; McEwan, Alistair et al.
ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2010. p. 4253-4256 5537564 (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - A log-domain implementation of the Izhikevich neuron model

AU - Van Schaik, André

AU - Jin, Craig

AU - McEwan, Alistair

AU - Hamilton, Tara

PY - 2010

Y1 - 2010

N2 - We present an implementation of the Izhikevich neuron model which uses two first-order log-domain low-pass filters and two translinear multipliers. The neuron consists of a leaky-integrate-and-fire core, a slow adaptive state variable and quadratic positive feedback. Simulation results show that this neuron can emulate different spiking behaviours observed in biological neurons.

AB - We present an implementation of the Izhikevich neuron model which uses two first-order log-domain low-pass filters and two translinear multipliers. The neuron consists of a leaky-integrate-and-fire core, a slow adaptive state variable and quadratic positive feedback. Simulation results show that this neuron can emulate different spiking behaviours observed in biological neurons.

UR - https://www.scopus.com/pages/publications/77955990653

U2 - 10.1109/ISCAS.2010.5537564

DO - 10.1109/ISCAS.2010.5537564

M3 - Conference Paper

AN - SCOPUS:77955990653

SN - 9781424453085

T3 - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

SP - 4253

EP - 4256

BT - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems

T2 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010

Y2 - 30 May 2010 through 2 June 2010

ER -

Van Schaik A, Jin C, McEwan A, Hamilton T. A log-domain implementation of the Izhikevich neuron model. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2010. p. 4253-4256. 5537564. (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). doi: 10.1109/ISCAS.2010.5537564

A log-domain implementation of the Izhikevich neuron model

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this