A log-domain implementation of the Mihalas-Niebur neuron model

André Van Schaik; Craig Jin; Alistair McEwan; Tara Hamilton; Stefan Mihalas; Ernst Niebur

doi:10.1109/ISCAS.2010.5537563

A log-domain implementation of the Mihalas-Niebur neuron model

André Van Schaik, Craig Jin, Alistair McEwan, Tara Hamilton, Stefan Mihalas, Ernst Niebur

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

44 Citations (Scopus)

Abstract

We present an electronic neuron that uses first-order log-domain low-pass filters to implement the Mihalas-Niebur model. The neuron consists of a leaky-integrate-and-fire core and building blocks to implement an adaptive threshold and spike induced currents. Simulation results show that this modular 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	4249-4252
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2010.5537563
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

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10.1109/ISCAS.2010.5537563

Cite this

Van Schaik, A., Jin, C., McEwan, A., Hamilton, T., Mihalas, S., & Niebur, E. (2010). A log-domain implementation of the Mihalas-Niebur neuron model. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems (pp. 4249-4252). Article 5537563 (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). https://doi.org/10.1109/ISCAS.2010.5537563

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

abstract = "We present an electronic neuron that uses first-order log-domain low-pass filters to implement the Mihalas-Niebur model. The neuron consists of a leaky-integrate-and-fire core and building blocks to implement an adaptive threshold and spike induced currents. Simulation results show that this modular neuron can emulate different spiking behaviours observed in biological neurons.",

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

year = "2010",

doi = "10.1109/ISCAS.2010.5537563",

language = "English",

isbn = "9781424453085",

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

pages = "4249--4252",

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",

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Van Schaik, A, Jin, C, McEwan, A, Hamilton, T, Mihalas, S & Niebur, E 2010, A log-domain implementation of the Mihalas-Niebur neuron model. in ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems., 5537563, ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, pp. 4249-4252, 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.2010.5537563

A log-domain implementation of the Mihalas-Niebur 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. 4249-4252 5537563 (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

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T1 - A log-domain implementation of the Mihalas-Niebur neuron model

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AU - Jin, Craig

AU - McEwan, Alistair

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AU - Niebur, Ernst

PY - 2010

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AB - We present an electronic neuron that uses first-order log-domain low-pass filters to implement the Mihalas-Niebur model. The neuron consists of a leaky-integrate-and-fire core and building blocks to implement an adaptive threshold and spike induced currents. Simulation results show that this modular neuron can emulate different spiking behaviours observed in biological neurons.

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SN - 9781424453085

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

SP - 4249

EP - 4252

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, Mihalas S, Niebur E. A log-domain implementation of the Mihalas-Niebur neuron model. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2010. p. 4249-4252. 5537563. (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). doi: 10.1109/ISCAS.2010.5537563

A log-domain implementation of the Mihalas-Niebur neuron model

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