Exploring the evolution of NoC-based spiking neural networks on FPGAs

F. Morgan; S. Cawley; B. Mc Ginley; S. Pande; L. J. Mc Daid; B. Glackin; J. Maher; J. Harkin

doi:10.1109/FPT.2009.5377663

Exploring the evolution of NoC-based spiking neural networks on FPGAs

F. Morgan, S. Cawley, B. Mc Ginley, S. Pande, L. J. Mc Daid, B. Glackin, J. Maher, J. Harkin

Electrical & Electronic Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

20 Citations (Scopus)

Abstract

Bio-inspired paradigms such as Spiking Neural Networks (SNNs) offer the potential to emulate the repairing and adaptive ability of the brain. This paper presents EMBRACEFPGA, a scalable, configurable Network on Chip (NoC)-based SNN architecture, implemented on Xilinx Virtex II-Pro FPGA hardware. In association with a Genetic Algorithm-based hardware evolution platform, EMBRACE-FPGA provides a computing platform for intrinsic hardware evolution, which can be used to explore the evolution and adaptive capabilities of hardware SNNs. Results demonstrate the application of the hardware SNN evolution platform to solve the XOR benchmark problem.

Original language	English
Title of host publication	Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09
Pages	300-303
Number of pages	4
DOIs	https://doi.org/10.1109/FPT.2009.5377663
Publication status	Published - 2009
Event	2009 International Conference on Field-Programmable Technology, FPT'09 - Sydney, Australia Duration: 9 Dec 2009 → 11 Dec 2009

Publication series

Name	Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09

Conference

Conference	2009 International Conference on Field-Programmable Technology, FPT'09
Country/Territory	Australia
City	Sydney
Period	9/12/09 → 11/12/09

Keywords

Evolvable hardware
FPGA
Network on chip
Spiking neural networks

Access to Document

10.1109/FPT.2009.5377663

Cite this

Morgan, F., Cawley, S., Mc Ginley, B., Pande, S., Mc Daid, L. J., Glackin, B., Maher, J., & Harkin, J. (2009). Exploring the evolution of NoC-based spiking neural networks on FPGAs. In Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09 (pp. 300-303). Article 5377663 (Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09). https://doi.org/10.1109/FPT.2009.5377663

@inproceedings{ab71faeceebd439096b00c348a97f8c0,

title = "Exploring the evolution of NoC-based spiking neural networks on FPGAs",

abstract = "Bio-inspired paradigms such as Spiking Neural Networks (SNNs) offer the potential to emulate the repairing and adaptive ability of the brain. This paper presents EMBRACEFPGA, a scalable, configurable Network on Chip (NoC)-based SNN architecture, implemented on Xilinx Virtex II-Pro FPGA hardware. In association with a Genetic Algorithm-based hardware evolution platform, EMBRACE-FPGA provides a computing platform for intrinsic hardware evolution, which can be used to explore the evolution and adaptive capabilities of hardware SNNs. Results demonstrate the application of the hardware SNN evolution platform to solve the XOR benchmark problem.",

keywords = "Evolvable hardware, FPGA, Network on chip, Spiking neural networks",

author = "F. Morgan and S. Cawley and \{Mc Ginley\}, B. and S. Pande and \{Mc Daid\}, \{L. J.\} and B. Glackin and J. Maher and J. Harkin",

year = "2009",

doi = "10.1109/FPT.2009.5377663",

language = "English",

isbn = "9781424443772",

series = "Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09",

pages = "300--303",

booktitle = "Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09",

note = "2009 International Conference on Field-Programmable Technology, FPT'09 ; Conference date: 09-12-2009 Through 11-12-2009",

}

Morgan, F, Cawley, S, Mc Ginley, B, Pande, S, Mc Daid, LJ, Glackin, B, Maher, J & Harkin, J 2009, Exploring the evolution of NoC-based spiking neural networks on FPGAs. in Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09., 5377663, Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09, pp. 300-303, 2009 International Conference on Field-Programmable Technology, FPT'09, Sydney, Australia, 9/12/09. https://doi.org/10.1109/FPT.2009.5377663

Exploring the evolution of NoC-based spiking neural networks on FPGAs. / Morgan, F.; Cawley, S.; Mc Ginley, B. et al.
Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09. 2009. p. 300-303 5377663 (Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Exploring the evolution of NoC-based spiking neural networks on FPGAs

AU - Morgan, F.

AU - Cawley, S.

AU - Mc Ginley, B.

AU - Pande, S.

AU - Mc Daid, L. J.

AU - Glackin, B.

AU - Maher, J.

AU - Harkin, J.

PY - 2009

Y1 - 2009

N2 - Bio-inspired paradigms such as Spiking Neural Networks (SNNs) offer the potential to emulate the repairing and adaptive ability of the brain. This paper presents EMBRACEFPGA, a scalable, configurable Network on Chip (NoC)-based SNN architecture, implemented on Xilinx Virtex II-Pro FPGA hardware. In association with a Genetic Algorithm-based hardware evolution platform, EMBRACE-FPGA provides a computing platform for intrinsic hardware evolution, which can be used to explore the evolution and adaptive capabilities of hardware SNNs. Results demonstrate the application of the hardware SNN evolution platform to solve the XOR benchmark problem.

AB - Bio-inspired paradigms such as Spiking Neural Networks (SNNs) offer the potential to emulate the repairing and adaptive ability of the brain. This paper presents EMBRACEFPGA, a scalable, configurable Network on Chip (NoC)-based SNN architecture, implemented on Xilinx Virtex II-Pro FPGA hardware. In association with a Genetic Algorithm-based hardware evolution platform, EMBRACE-FPGA provides a computing platform for intrinsic hardware evolution, which can be used to explore the evolution and adaptive capabilities of hardware SNNs. Results demonstrate the application of the hardware SNN evolution platform to solve the XOR benchmark problem.

KW - Evolvable hardware

KW - FPGA

KW - Network on chip

KW - Spiking neural networks

UR - https://www.scopus.com/pages/publications/77949360934

U2 - 10.1109/FPT.2009.5377663

DO - 10.1109/FPT.2009.5377663

M3 - Conference Publication

AN - SCOPUS:77949360934

SN - 9781424443772

T3 - Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09

SP - 300

EP - 303

BT - Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09

T2 - 2009 International Conference on Field-Programmable Technology, FPT'09

Y2 - 9 December 2009 through 11 December 2009

ER -

Morgan F, Cawley S, Mc Ginley B, Pande S, Mc Daid LJ, Glackin B et al. Exploring the evolution of NoC-based spiking neural networks on FPGAs. In Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09. 2009. p. 300-303. 5377663. (Proceedings of the 2009 International Conference on Field-Programmable Technology, FPT'09). doi: 10.1109/FPT.2009.5377663

Exploring the evolution of NoC-based spiking neural networks on FPGAs

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this