Süzgeç evre gecikmesinin kestirilen evre gecikmesindeki pay

Murat Okatan

doi:10.1109/SIU.2013.6531329

Süzgeç evre gecikmesinin kestirilen evre gecikmesindeki pay

Translated title of the contribution: Filter phase delay's share in the estimated phase delay

Murat Okatan^*

^*Corresponding author for this work

Ankara University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The electrical activity of neurons contains information about certain variables in the internal and external environments of the organism. One of the methods that are used for estimating such information from neural activity recordings is the point process recursive filter. Here, the effects of this filter's phase delay are examined in a neuroscientifically realistic simulated experiment. The results show that the filter's phase delay has a physiologically relevant magnitude. It is shown that the phase delay decreases and asymptotically reaches zero as the filter equations converge to maximum likelihood estimation.

Translated title of the contribution	Filter phase delay's share in the estimated phase delay
Original language	Turkish
Title of host publication	2013 21st Signal Processing and Communications Applications Conference, SIU 2013
DOIs	https://doi.org/10.1109/SIU.2013.6531329
Publication status	Published - 2013
Externally published	Yes
Event	2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey Duration: 24 Apr 2013 → 26 Apr 2013

Publication series

Name	2013 21st Signal Processing and Communications Applications Conference, SIU 2013

Conference

Conference	2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Country/Territory	Turkey
City	Haspolat
Period	24/04/13 → 26/04/13

Access to Document

10.1109/SIU.2013.6531329

Cite this

@inproceedings{30352498437e4e63b8337e5e4928c0a6,

title = "S{\"u}zge{\c c} evre gecikmesinin kestirilen evre gecikmesindeki pay",

abstract = "The electrical activity of neurons contains information about certain variables in the internal and external environments of the organism. One of the methods that are used for estimating such information from neural activity recordings is the point process recursive filter. Here, the effects of this filter's phase delay are examined in a neuroscientifically realistic simulated experiment. The results show that the filter's phase delay has a physiologically relevant magnitude. It is shown that the phase delay decreases and asymptotically reaches zero as the filter equations converge to maximum likelihood estimation.",

keywords = "Hippocampus, Maximum likelihood estimation, Point process recursive filter, Prospective neural activity, Spike train",

author = "Murat Okatan",

year = "2013",

doi = "10.1109/SIU.2013.6531329",

language = "T{\"u}rk{\c c}e",

isbn = "9781467355629",

series = "2013 21st Signal Processing and Communications Applications Conference, SIU 2013",

booktitle = "2013 21st Signal Processing and Communications Applications Conference, SIU 2013",

note = "2013 21st Signal Processing and Communications Applications Conference, SIU 2013 ; Conference date: 24-04-2013 Through 26-04-2013",

}

Okatan, M 2013, Süzgeç evre gecikmesinin kestirilen evre gecikmesindeki pay. in 2013 21st Signal Processing and Communications Applications Conference, SIU 2013., 6531329, 2013 21st Signal Processing and Communications Applications Conference, SIU 2013, 2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Turkey, 24/04/13. https://doi.org/10.1109/SIU.2013.6531329

TY - GEN

T1 - Süzgeç evre gecikmesinin kestirilen evre gecikmesindeki pay

AU - Okatan, Murat

PY - 2013

Y1 - 2013

N2 - The electrical activity of neurons contains information about certain variables in the internal and external environments of the organism. One of the methods that are used for estimating such information from neural activity recordings is the point process recursive filter. Here, the effects of this filter's phase delay are examined in a neuroscientifically realistic simulated experiment. The results show that the filter's phase delay has a physiologically relevant magnitude. It is shown that the phase delay decreases and asymptotically reaches zero as the filter equations converge to maximum likelihood estimation.

AB - The electrical activity of neurons contains information about certain variables in the internal and external environments of the organism. One of the methods that are used for estimating such information from neural activity recordings is the point process recursive filter. Here, the effects of this filter's phase delay are examined in a neuroscientifically realistic simulated experiment. The results show that the filter's phase delay has a physiologically relevant magnitude. It is shown that the phase delay decreases and asymptotically reaches zero as the filter equations converge to maximum likelihood estimation.

KW - Hippocampus

KW - Maximum likelihood estimation

KW - Point process recursive filter

KW - Prospective neural activity

KW - Spike train

UR - http://www.scopus.com/inward/record.url?scp=84880871003&partnerID=8YFLogxK

U2 - 10.1109/SIU.2013.6531329

DO - 10.1109/SIU.2013.6531329

M3 - Konferans katkısı

AN - SCOPUS:84880871003

SN - 9781467355629

T3 - 2013 21st Signal Processing and Communications Applications Conference, SIU 2013

BT - 2013 21st Signal Processing and Communications Applications Conference, SIU 2013

T2 - 2013 21st Signal Processing and Communications Applications Conference, SIU 2013

Y2 - 24 April 2013 through 26 April 2013

ER -

Süzgeç evre gecikmesinin kestirilen evre gecikmesindeki pay

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