Detection and sorting of neural spikes using wavelet packets

Eyal Hulata; Ronen Segev; Yoash Shapira; Morris Benveniste; Eshel Ben-Jacob

doi:10.1103/PhysRevLett.85.4637

Detection and sorting of neural spikes using wavelet packets

Eyal Hulata, Ronen Segev, Yoash Shapira, Morris Benveniste, Eshel Ben-Jacob

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

Wavelet packets were used to analyze the detection and sorting phenomenon of neural spikes. Shannon information cost functions along with the local discriminant data were used in this context. Neural networks were used to demonstrate the efficiency of the recorded data. The process of identification of superimposed spikes and separation from noise was best revealed by the system.

Original language	English
Pages (from-to)	4637-4640
Number of pages	4
Journal	Physical Review Letters
Volume	85
Issue number	21
DOIs	https://doi.org/10.1103/PhysRevLett.85.4637
State	Published - 20 Nov 2000
Externally published	Yes

ASJC Scopus subject areas

Physics and Astronomy (all)

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10.1103/PhysRevLett.85.4637

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title = "Detection and sorting of neural spikes using wavelet packets",

abstract = "Wavelet packets were used to analyze the detection and sorting phenomenon of neural spikes. Shannon information cost functions along with the local discriminant data were used in this context. Neural networks were used to demonstrate the efficiency of the recorded data. The process of identification of superimposed spikes and separation from noise was best revealed by the system.",

author = "Eyal Hulata and Ronen Segev and Yoash Shapira and Morris Benveniste and Eshel Ben-Jacob",

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AU - Hulata, Eyal

AU - Segev, Ronen

AU - Shapira, Yoash

AU - Benveniste, Morris

AU - Ben-Jacob, Eshel

PY - 2000/11/20

Y1 - 2000/11/20

N2 - Wavelet packets were used to analyze the detection and sorting phenomenon of neural spikes. Shannon information cost functions along with the local discriminant data were used in this context. Neural networks were used to demonstrate the efficiency of the recorded data. The process of identification of superimposed spikes and separation from noise was best revealed by the system.

AB - Wavelet packets were used to analyze the detection and sorting phenomenon of neural spikes. Shannon information cost functions along with the local discriminant data were used in this context. Neural networks were used to demonstrate the efficiency of the recorded data. The process of identification of superimposed spikes and separation from noise was best revealed by the system.

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DO - 10.1103/PhysRevLett.85.4637

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JO - Physical Review Letters

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Detection and sorting of neural spikes using wavelet packets

Abstract

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