Implementing a neuromorphic cross-correlation engine with silicon neurons

Fopefolu Folowosele; Francesco Tenore; Alexander Russell; Garrick Orchard; Mark Vismer; Jonathan Tapson; Ralph Etienne-Cummings

doi:10.1109/ISCAS.2008.4541879

Implementing a neuromorphic cross-correlation engine with silicon neurons

Fopefolu Folowosele, Francesco Tenore, Alexander Russell, Garrick Orchard, Mark Vismer, Jonathan Tapson, Ralph Etienne-Cummings

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

4 Citations (Scopus)

Abstract

The cross-correlation function is an important yet computationally intensive processing step in many engineering applications such as wireless communication and object recognition. A neuromorphic approach to this function has been shown to facilitate implementation using a neural-based architecture. Using a custom designed array of silicon neurons on a compact, low-power chip, we demonstrate a cross-correlation system based on two half center oscillators. These preliminary results show the validity of this approach and could provide an elegant solution to wireless communication systems in the next generation of neuroprosthetic devices.

Original language	English
Title of host publication	Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008): Seattle, Washington, USA, 18-21 May 2008
Publisher	IEEE
Pages	2162-2165
Number of pages	4
ISBN (Print)	9781424416844
DOIs	https://doi.org/10.1109/ISCAS.2008.4541879
Publication status	Published - 2008
Event	IEEE International Symposium on Circuits and Systems - Duration: 20 May 2012 → …

Publication series

Name
ISSN (Print)	0271-4310

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	20/05/12 → …

Access to Document

10.1109/ISCAS.2008.4541879

Cite this

Folowosele, F., Tenore, F., Russell, A., Orchard, G., Vismer, M., Tapson, J., & Etienne-Cummings, R. (2008). Implementing a neuromorphic cross-correlation engine with silicon neurons. In Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008): Seattle, Washington, USA, 18-21 May 2008 (pp. 2162-2165). IEEE. https://doi.org/10.1109/ISCAS.2008.4541879

@inproceedings{f7cfd26e0cae44e48204ececfedeb613,

title = "Implementing a neuromorphic cross-correlation engine with silicon neurons",

abstract = "The cross-correlation function is an important yet computationally intensive processing step in many engineering applications such as wireless communication and object recognition. A neuromorphic approach to this function has been shown to facilitate implementation using a neural-based architecture. Using a custom designed array of silicon neurons on a compact, low-power chip, we demonstrate a cross-correlation system based on two half center oscillators. These preliminary results show the validity of this approach and could provide an elegant solution to wireless communication systems in the next generation of neuroprosthetic devices.",

author = "Fopefolu Folowosele and Francesco Tenore and Alexander Russell and Garrick Orchard and Mark Vismer and Jonathan Tapson and Ralph Etienne-Cummings",

year = "2008",

doi = "10.1109/ISCAS.2008.4541879",

language = "English",

isbn = "9781424416844",

publisher = "IEEE",

pages = "2162--2165",

booktitle = "Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008): Seattle, Washington, USA, 18-21 May 2008",

note = "IEEE International Symposium on Circuits and Systems ; Conference date: 20-05-2012",

}

Folowosele, F, Tenore, F, Russell, A, Orchard, G, Vismer, M, Tapson, J & Etienne-Cummings, R 2008, Implementing a neuromorphic cross-correlation engine with silicon neurons. in Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008): Seattle, Washington, USA, 18-21 May 2008. IEEE, pp. 2162-2165, IEEE International Symposium on Circuits and Systems, 20/05/12. https://doi.org/10.1109/ISCAS.2008.4541879

Implementing a neuromorphic cross-correlation engine with silicon neurons. / Folowosele, Fopefolu; Tenore, Francesco; Russell, Alexander et al.
Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008): Seattle, Washington, USA, 18-21 May 2008. IEEE, 2008. p. 2162-2165.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Implementing a neuromorphic cross-correlation engine with silicon neurons

AU - Folowosele, Fopefolu

AU - Tenore, Francesco

AU - Russell, Alexander

AU - Orchard, Garrick

AU - Vismer, Mark

AU - Tapson, Jonathan

AU - Etienne-Cummings, Ralph

PY - 2008

Y1 - 2008

N2 - The cross-correlation function is an important yet computationally intensive processing step in many engineering applications such as wireless communication and object recognition. A neuromorphic approach to this function has been shown to facilitate implementation using a neural-based architecture. Using a custom designed array of silicon neurons on a compact, low-power chip, we demonstrate a cross-correlation system based on two half center oscillators. These preliminary results show the validity of this approach and could provide an elegant solution to wireless communication systems in the next generation of neuroprosthetic devices.

AB - The cross-correlation function is an important yet computationally intensive processing step in many engineering applications such as wireless communication and object recognition. A neuromorphic approach to this function has been shown to facilitate implementation using a neural-based architecture. Using a custom designed array of silicon neurons on a compact, low-power chip, we demonstrate a cross-correlation system based on two half center oscillators. These preliminary results show the validity of this approach and could provide an elegant solution to wireless communication systems in the next generation of neuroprosthetic devices.

UR - http://handle.uws.edu.au:8081/1959.7/560623

UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4541879

U2 - 10.1109/ISCAS.2008.4541879

DO - 10.1109/ISCAS.2008.4541879

M3 - Conference Paper

SN - 9781424416844

SP - 2162

EP - 2165

BT - Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008): Seattle, Washington, USA, 18-21 May 2008

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 20 May 2012

ER -

Implementing a neuromorphic cross-correlation engine with silicon neurons

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this