A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities

Will X. Y. Li; Rosa H. M. Chan; Wei Zhang; Ray C. C. Cheung; Dong Song; Theodore W. Berger

doi:10.1109/IEMBS.2011.6091698

A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities

Will X. Y. Li
, Rosa H. M. Chan
, Wei Zhang
, Ray C. C. Cheung
, Dong Song
, Theodore W. Berger

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

A parallelized and pipelined architecture based on FPGA and a higher-level Self Reconfiguration Platform are proposed in this paper to model Generalized Laguerre-Volterra MIMO system essential in identifying the time-varying neural dynamics underlying spike activities. Our proposed design is based on the Xilinx Virtex-6 FPGA platform and the processing core can produce data samples at a speed of 1.33 × 10⁶/s, which is 3.1 × 10³ times faster than the corresponding C model running on an Intel i7-860 Quad Core Processor. The ongoing work of the construction of the advanced Self Reconfiguration Platform is presented and initial test results are provided. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Publisher	IEEE
Pages	7282-7285
ISBN (Electronic)	9781457715891, 9781424441228
ISBN (Print)	9781424441211
DOIs	https://doi.org/10.1109/IEMBS.2011.6091698
Publication status	Published - Sept 2011
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011) - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sept 2011 https://www.embs.org/conferences-meetings/past-conferences/annual-international-conferences/

Publication series

Name	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publisher	Institute of Electrical and Electronics Engineers
ISSN (Print)	1094-687X
ISSN (Electronic)	1558-4615

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011)
Place	United States
City	Boston, MA
Period	30/08/11 → 3/09/11
Internet address	https://www.embs.org/conferences-meetings/past-conferences/annual-international-conferences/

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Li, W. X. Y., Chan, R. H. M., Zhang, W., Cheung, R. C. C., Song, D., & Berger, T. W. (2011). A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 7282-7285). Article 6091698 (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference). IEEE. https://doi.org/10.1109/IEMBS.2011.6091698

Li, Will X. Y. ; Chan, Rosa H. M. ; Zhang, Wei et al. / A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. IEEE, 2011. pp. 7282-7285 (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference).

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title = "A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities",

abstract = "A parallelized and pipelined architecture based on FPGA and a higher-level Self Reconfiguration Platform are proposed in this paper to model Generalized Laguerre-Volterra MIMO system essential in identifying the time-varying neural dynamics underlying spike activities. Our proposed design is based on the Xilinx Virtex-6 FPGA platform and the processing core can produce data samples at a speed of 1.33 × 106/s, which is 3.1 × 103 times faster than the corresponding C model running on an Intel i7-860 Quad Core Processor. The ongoing work of the construction of the advanced Self Reconfiguration Platform is presented and initial test results are provided. {\textcopyright} 2011 IEEE.",

author = "Li, \{Will X. Y.\} and Chan, \{Rosa H. M.\} and Wei Zhang and Cheung, \{Ray C. C.\} and Dong Song and Berger, \{Theodore W.\}",

year = "2011",

month = sep,

doi = "10.1109/IEMBS.2011.6091698",

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booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

address = "United States",

note = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011) ; Conference date: 30-08-2011 Through 03-09-2011",

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}

Li, WXY, Chan, RHM, Zhang, W, Cheung, RCC, Song, D & Berger, TW 2011, A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6091698, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, IEEE, pp. 7282-7285, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011), Boston, MA, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6091698

A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities. / Li, Will X. Y.; Chan, Rosa H. M.; Zhang, Wei et al.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. IEEE, 2011. p. 7282-7285 6091698 (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Cheung, Ray C. C.

AU - Song, Dong

AU - Berger, Theodore W.

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AB - A parallelized and pipelined architecture based on FPGA and a higher-level Self Reconfiguration Platform are proposed in this paper to model Generalized Laguerre-Volterra MIMO system essential in identifying the time-varying neural dynamics underlying spike activities. Our proposed design is based on the Xilinx Virtex-6 FPGA platform and the processing core can produce data samples at a speed of 1.33 × 106/s, which is 3.1 × 103 times faster than the corresponding C model running on an Intel i7-860 Quad Core Processor. The ongoing work of the construction of the advanced Self Reconfiguration Platform is presented and initial test results are provided. © 2011 IEEE.

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T3 - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

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ER -

Li WXY, Chan RHM, Zhang W, Cheung RCC, Song D, Berger TW. A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. IEEE. 2011. p. 7282-7285. 6091698. (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference). doi: 10.1109/IEMBS.2011.6091698

A Hardware-based Computational Platform for Generalized Laguerre-Volterra MIMO Model for Neural Activities

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