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Application of Simplified GLRT Detec...

Hajirasooliha, Ashkan.

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Application of Simplified GLRT Detectors for Spike Detection in Multi-Sensor Extracellular Recordings.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Application of Simplified GLRT Detectors for Spike Detection in Multi-Sensor Extracellular Recordings./
Author:	Hajirasooliha, Ashkan.
Description:	70 p.
Notes:	Source: Masters Abstracts International, Volume: 51-04.
Contained By:	Masters Abstracts International51-04(E).
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1531844
ISBN:	9781267852427

Application of Simplified GLRT Detectors for Spike Detection in Multi-Sensor Extracellular Recordings.
Hajirasooliha, Ashkan.

Application of Simplified GLRT Detectors for Spike Detection in Multi-Sensor Extracellular Recordings. - 70 p.

Source: Masters Abstracts International, Volume: 51-04.

Thesis (M.S.)--University of California, Irvine, 2013.

Extracellular recordings have been used as a tool to study brain activity. The signals recorded, however, are contaminated by noise from the recording equipment as well as the activity of non-targeted biological structures, calling for robust spike detection algorithms. Such algorithms are even more critical for the analysis of the ever more popular multi-sensor e.g. tetrode recordings.

ISBN: 9781267852427Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Application of Simplified GLRT Detectors for Spike Detection in Multi-Sensor Extracellular Recordings.
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020 $a 9781267852427
035 $a (UMI)AAI1531844
035 $a AAI1531844
040 $a UMI $c UMI
100 1 $a Hajirasooliha, Ashkan. $3 2091872
245 1 0 $a Application of Simplified GLRT Detectors for Spike Detection in Multi-Sensor Extracellular Recordings.
300 $a 70 p.
500 $a Source: Masters Abstracts International, Volume: 51-04.
500 $a Adviser: Zoran Nenadic.
502 $a Thesis (M.S.)--University of California, Irvine, 2013.
520 $a Extracellular recordings have been used as a tool to study brain activity. The signals recorded, however, are contaminated by noise from the recording equipment as well as the activity of non-targeted biological structures, calling for robust spike detection algorithms. Such algorithms are even more critical for the analysis of the ever more popular multi-sensor e.g. tetrode recordings.
520 $a The generalized likelihood ratio test (GLRT) is the theoretical optimal detector for deterministic signals submersed in random noise of known distribution. While the multi-linear expansion of the GLRT detector may be applied for spike detection, it may suffer from poor estimation accuracy due to under-sampling with respect to the increasing number of the parameters, as well as high computation times unsuitable for real-time implementation. Special cases of the GLRT detector utilizing a fewer number of parameters are considered along with the general form.
590 $a School code: 0030.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Nanoscience. $3 587832
690 $a 0541
690 $a 0544
690 $a 0565
710 2 $a University of California, Irvine. $b Biomedical Engineering - M.S. $3 2091873
773 0 $t Masters Abstracts International $g 51-04(E).
790 1 0 $a Nenadic, Zoran, $e advisor
790 1 0 $a Haun, Jered $e committee member
790 1 0 $a Brody, James $e committee member
790 $a 0030
791 $a M.S.
792 $a 2013
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1531844