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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 78 days
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
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2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  4/2011 - 5

A Neuron Model for FPGA Spiking Neuronal Network Implementation

TIGAERU, L. See more information about TIGAERU, L. on SCOPUS See more information about TIGAERU, L. on IEEExplore See more information about TIGAERU, L. on Web of Science, BONTEANU, G. See more information about BONTEANU, G. on SCOPUS See more information about BONTEANU, G. on SCOPUS See more information about BONTEANU, G. on Web of Science
 
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Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (501 KB) | Citation | Downloads: 2,193 | Views: 5,011

Author keywords
spiking neural network, neuromorphics, biological system modeling, field programmable gate arrays, very large scale integration

References keywords
neural(10), networks(9), spiking(7), membrane(5), huxley(5), hodgkin(5), neurons(4), loligo(4), link(4), giant(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 29 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04005
Web of Science Accession Number: 000297764500005
SCOPUS ID: 84856609800

Abstract
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We propose a neuron model, able to reproduce the basic elements of the neuronal dynamics, optimized for digital implementation of Spiking Neural Networks. Its architecture is structured in two major blocks, a datapath and a control unit. The datapath consists of a membrane potential circuit, which emulates the neuronal dynamics at the soma level, and a synaptic circuit used to update the synaptic weight according to the spike timing dependent plasticity (STDP) mechanism. The proposed model is implemented into a Cyclone II-Altera FPGA device. Our results indicate the neuron model can be used to build up 1K Spiking Neural Networks on reconfigurable logic suport, to explore various network topologies.


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Cited-By Clarivate Web of Science

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Cited-By CrossRef

[1] HARDWARE IMPLEMENTATION OF STOCHASTIC SPIKING NEURAL NETWORKS, ROSSELLÓ, JOSEP L., CANALS, VINCENT, MORRO, ANTONI, OLIVER, ANTONI, International Journal of Neural Systems, ISSN 0129-0657, Issue 04, Volume 22, 2012.
Digital Object Identifier: 10.1142/S0129065712500141
[CrossRef]

[2] A spiking neural network for extraction of features in colour opponent visual pathways and FPGA implementation, Sun, Qi Yan, Wu, Qing Xiang, Wang, Xuan, Hou, Lei, Neurocomputing, ISSN 0925-2312, Issue , 2017.
Digital Object Identifier: 10.1016/j.neucom.2016.09.093
[CrossRef]

[3] Implementation of an efficient magnetic tunnel junction-based stochastic neural network with application to iris data classification, Nisar, Arshid, Khanday, Farooq A, Kaushik, Brajesh Kumar, Nanotechnology, ISSN 0957-4484, Issue 50, Volume 31, 2020.
Digital Object Identifier: 10.1088/1361-6528/abadc4
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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