|4/2011 - 5|
A Neuron Model for FPGA Spiking Neuronal Network ImplementationTIGAERU, L. , BONTEANU, G.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (501 KB) | Citation | Downloads: 1,986 | Views: 4,472|
spiking neural network, neuromorphics, biological system modeling, field programmable gate arrays, very large scale integration
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
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.
|References|||||Cited By «-- Click to see who has cited this paper|
| C. Koch, "Biophysics of Computation: Information Processing in Single Neurons", New York: Oxford Univ. Press., 1999
 W. Maass, "The Third Generation of Neural Network Models", Technische Universitat Graz, 1997.
 A. L. Hodgkin, F. Huxley, B. Katz, "Measurements of current-voltage relations in the membrane of the giant axon of Loligo". J. Physiol. vol. 116, pp. 424-448, 1952. [PubMed]
 A. L. Hodgkin, F. Huxley, "Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo". J. Physiol. vol. 116, pp. 449-472, 1952. [PubMed]
 A. L. Hodgkin, F. Huxley, "The components of membrane conductance in the giant axon of Loligo", J. Physiol. vol. 116, pp. 473-496, 1952. [PubMed]
 A. L. Hodgkin, F. Huxley, "The dual effect of membrane potential on sodium conductance in the giant axon of Loligo", J. Physiol. vol. 116 pp. 497-506, 1952. [PubMed]
 A. L. Hodgkin, F. Huxley, "A quantitative description of membrane current and its application to conduction and excitation in nerve", J. Physiol. vol. 116, pp. 507-544, 1952. [PubMed]
 E. M. Izhikevich, "Simple Model of Spiking Neurons", IEEE Transactions of Neural Networks, vol. 14, no. 6, pp. 1569-1572, 2003.
[CrossRef] [Web of Science Times Cited 2398] [SCOPUS Times Cited 2685]
 L. F. Abbott, "Lapique's introduction of the integrate-and-fire model neuron (1907)", Brain Research Bulletin, vol. 50, no. 5/6, pp. 303-304, 1999.
 K. M Hynna, K. Boahen, "Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels", Neural Computation, vol. 19, no. 2, pp. 327-350, 2007
 J. H. B. Wijekoon, P. Dudek, "Compact Silicon Neuron with Spiking and Bursting Behaviour", Neural Networks, vol. 21, pp. 524-534, 2008.
 G. Indiveri, E. Chicca, R. Douglas, "A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity", IEEE Transactions on Neural Networks, vol. 17, no. 1 pp. 211-221, 2006.
[CrossRef] [Web of Science Times Cited 647] [SCOPUS Times Cited 686]
 M. J. Pearson, A. G. Pipe, B. Mitchinson, K. Gurney, C. Melhuish, I. Gilhespy, M. Nibouche, "Implementing Spiking Neural Networks for Real Time Signal Processing and Control Applications: A Model Validated FPGA Approach", IEEE Transactions on Neural Networks, vol. 18, no. 5, pp. 1472-1487, 2007.
[CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 84]
 P. Arena, L. Fortuna, M. Frasca, L. Patane, "Learning Anticipation via Spiking Networks: Application to Navigation Control", IEEE Transactions on Neural Networks, vol. 20, no. 2, pp. 202-216, 2009.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 60]
 H. Markram, J. Lubke, M. Frotscher, B. Sakmann, "Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs", Science, vol. 275, pp. 213-215, 1997.
[CrossRef] [Web of Science Times Cited 2592] [SCOPUS Times Cited 2795]
 D. O. Hebb, "The organization of behavior", New York: Wiley & Sons, 1949
 P. P. Chu, "RTL Hardware Design Using VHDL. Coding for Efficiency, Portability and Scalabilty", Wiley and Sons, 2006.
 "Cyclone II Device Handbook", [Online] Available: Temporary on-line reference link removed - see the PDF document
 "Quartus II Handbook", [Online] Available: Temporary on-line reference link removed - see the PDF document
 A. Rosado-Munoz, A.B. Fijalkowski, M. Bataller-Mompean, J. Guerrero-Martinez, "FPGA implementation of Spiking Neural Networks supported by a Software Design Environment", Proccedings of the 18th IFAC World Congress, 2011.
[CrossRef] [SCOPUS Times Cited 9]
 "Spartan 3E FPGA device family: data sheet", [Online] Available: Temporary on-line reference link removed - see the PDF document
 J. A. Bailey, R. Wilcock, P. R. Wilson, J. E. Chad, "Behavioral simulation and synthesis of biological neuron systems using synthesizable VHDL", Neurocomputing, vol. 74, pp. 2392-2406, 2011.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]
 E. Ros, E. M. Ortigosa, R. Agis, R. Carrillo, M. Arnold, "Real-time computing platform for spiking neurons (RT-spike)", IEEE Transactions on Neural Networks, vol. 17, no.4, pp. 1050-1063, 2006.
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 64]
 "Vitex 2 FPGA device family: complete data sheet", [Online] Available: Temporary on-line reference link removed - see the PDF document
Web of Science® Citations for all references: 5,826 TCR
SCOPUS® Citations for all references: 6,395 TCR
Web of Science® Average Citations per reference: 243 ACR
SCOPUS® Average Citations per reference: 266 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2022-09-23 05:14 in 54 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
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.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.