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NOKTASAL SÜREÇLERDE EN YÜKSEK OLABİLİRLİKLİ KESTİRİM İŞLEMİNİN EVRE İZGESİ

PHASE SPECTRUM OF POINT PROCESS MAXIMUM LIKELIHOOD DECODER

Journal Name:

  • Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

Publication Year:

  • 2013

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
One of the methods that are used for estimating variables that drive point processes is maximum likelihood estimation. One application of this method is neural spike train decoding. The phase spectrum of the point process maximum likelihood decoder has not been examined previously. Here, this phase spectrum is examined in a simulated experiment under neuroscientifically realistic conditions. The major finding of the study is that the phase delay of the maximum likelihood decoder is statistically not significant in the frequency range of interest. A second finding is that, under the same conditions, the phase delay of the point process recursive filter is significantly greater than zero. These results are important for studies that examine the timing of information processing within the nervous system.
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Abstract (Original Language): 
Noktasal süreçleri süren değişkenlerin kestiriminde kullanılan yöntemlerden biri ‘en yüksek olabilirlikli kestirim’ işlemidir. Bu işlemin uygulama alanlarından biri, sinirsel aksiyon potansiyeli dizilerinin içerdiği bilgilerin kestirimidir. Noktasal süreçlerin içerdiği bilgilerin en yüksek olabilirlikle kestirilmesi işleminin evre izgesi henüz incelenmemiş bir konudur. Şimdiki çalışmada, bu evre izgesi, sinirbilimsel açıdan gerçeğe uygun koşullar altında, benzetim yoluyla incelenmiştir. Çalışmanın başlıca bulgusu, en yüksek olabilirlikli kestirim işleminin evre gecikmesinin incelenen frekans aralığında istatistiksel olarak anlamlı olmadığıdır. İkinci bir bulgu ise aynı koşullar altında noktasal süreç özyineli süzgecinin evre gecikmesinin sıfırdan anlamlı derecede büyük olduğudur. Bu sonuçlar, sinir sisteminde gerçekleşen bilgi işlem süreçlerinin zamanlamasının incelendiği çalışmalar için önem taşımaktadır.
FULL TEXT (PDF): 
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  • 2
53-76
  • Turkish

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