@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",
}