Neural Networks

, volume 21 , issue 2-3 , pages 524-534

Compact silicon neuron circuit with spiking and bursting behaviour

Jayawan H B Wijekoon ¹

Piotr Dudek ¹

Hide authors affiliations Show authors affiliations: 1 affiliation

School of Electrical and Electronic Engineering The University of Manchester United Kingdom |

Publication type: Journal Article

Publication date: 2008-03-01

Elsevier

Neural Networks

scimago Q1

wos Q1

SJR: 1.491

CiteScore: 10.6

Impact factor: 6.3

ISSN: 08936080, 18792782

DOI: 10.1016/j.neunet.2007.12.037

Copy DOI

PubMed ID: 18262751

Artificial Intelligence

Cognitive Neuroscience

Abstract

A silicon neuron circuit that produces spiking and bursting firing patterns, with biologically plausible spike shape, is presented. The circuit mimics the behaviour of known classes of cortical neurons: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB). The paper describes the operation of the circuit, provides simulation results, a simplified analytical model, and a phase-plane analysis of its behaviour. The functionality of the circuit has been verified experimentally. The paper introduces a proof-of-concept analogue integrated circuit, implemented in a 0.35 microm CMOS technology, and presents preliminary measurement results. The neuron cell provides an area and energy efficient implementation of the silicon cortical neuron, and could be used as a universal neuron circuit in VLSI neuromorphic networks that closely resemble the circuits of the cortex.

Found

3 citations

Choi Yang-Kyu

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Korea Advanced Institute of Science and Technology

Georgia Institute of technology

1 citation

Soloviev Igor

DSc in Physics and Mathematics

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h-index: 25

Lomonosov Moscow State University

Dukhov Research Institute of Automatics

Research interests

Information systems

Inteligencia artificial

Nanotechnology

Quantum Physics

Radiophysics

Superconducting electronics

Superconductivity

1 citation

Schegolev Andrey

PhD in Physics and Mathematics

37 publications, 373 citations

h-index: 12

Lomonosov Moscow State University

Superconducting electronics

Superconductivity

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Klenov Nikolay

DSc in Engineering, associate professor

158 publications, 1 887 citations

h-index: 25

Lomonosov Moscow State University

Dukhov Research Institute of Automatics

Research interests

Nanotechnology

Quantum Physics

Superconducting electronics

1 citation

Bastrakova Marina

PhD in Physics and Mathematics

47 publications, 274 citations, 2 reviews

h-index: 10

Lobachevsky State University of Nizhny Novgorod

Russian Quantum Center

Research interests

Condensed matter physics

Superconducting qubits

1 citation

Maksimovskaya Anastasia

6 publications, 15 citations

h-index: 2

Lomonosov Moscow State University

Dukhov Research Institute of Automatics

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Wijekoon J. H. B., Dudek P. Compact silicon neuron circuit with spiking and bursting behaviour // Neural Networks. 2008. Vol. 21. No. 2-3. pp. 524-534.

GOST all authors (up to 50) Copy

Wijekoon J. H. B., Dudek P. Compact silicon neuron circuit with spiking and bursting behaviour // Neural Networks. 2008. Vol. 21. No. 2-3. pp. 524-534.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1016/j.neunet.2007.12.037

UR - https://doi.org/10.1016/j.neunet.2007.12.037

TI - Compact silicon neuron circuit with spiking and bursting behaviour

T2 - Neural Networks

AU - Wijekoon, Jayawan H B

AU - Dudek, Piotr

PY - 2008

DA - 2008/03/01

PB - Elsevier

SP - 524-534

IS - 2-3

VL - 21

PMID - 18262751

SN - 0893-6080

SN - 1879-2782

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2008_Wijekoon,

author = {Jayawan H B Wijekoon and Piotr Dudek},

title = {Compact silicon neuron circuit with spiking and bursting behaviour},

journal = {Neural Networks},

year = {2008},

volume = {21},

publisher = {Elsevier},

month = {mar},

url = {https://doi.org/10.1016/j.neunet.2007.12.037},

number = {2-3},

pages = {524--534},

doi = {10.1016/j.neunet.2007.12.037}

}

MLA

Cite this

MLA Copy

Wijekoon, Jayawan H. B., and Piotr Dudek. “Compact silicon neuron circuit with spiking and bursting behaviour.” Neural Networks, vol. 21, no. 2-3, Mar. 2008, pp. 524-534. https://doi.org/10.1016/j.neunet.2007.12.037.

Publisher

Elsevier

Journal

Neural Networks

scimago Q1

wos Q1

SJR

1.491

CiteScore

10.6

Impact factor

6.3

ISSN

08936080 (Print)

18792782 (Electronic)