Neural spike representation using Cepstrum

Haggag,S, Mohamed,S, Bhatti,A, Haggag,H and Nahavandi,S 2014, Neural spike representation using Cepstrum, in SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems Engineering, IEEE, Piscataway, N.J., pp. 97-100, doi: 10.1109/SYSOSE.2014.6892470.

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Title Neural spike representation using Cepstrum
Author(s) Haggag,S
Mohamed,SORCID iD for Mohamed,S
Bhatti,AORCID iD for Bhatti,A
Nahavandi,SORCID iD for Nahavandi,S
Conference name System of Systems Engineering. Conference (2014 : Adelaide, South Australia)
Conference location Adelaide, South Australia
Conference dates 9-13 Jun. 2014
Title of proceedings SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems Engineering
Editor(s) [Unknown]
Publication date 2014
Conference series System of Systems Engineering Conference
Start page 97
End page 100
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Neural spikes define the human brain function. An accurate extraction of spike features leads to better understanding of brain functionality. The main challenge of feature extraction is to mitigate the effect of strong background noises. To address this problem, we introduce a new feature representation for neural spikes based on Cepstrum of multichannel recordings. Simulation results indicated that the proposed method is more robust than the existing Haar wavelet method.
ISBN 9781479952274
Language eng
DOI 10.1109/SYSOSE.2014.6892470
Field of Research 110999 Neurosciences not elsewhere classified
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, Institute of Electrical and Electronics Engineers
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