Toplam kayıt 4, listelenen: 1-4

    • Confounding factor analysis for vocal fold oscillations 

      Gençağa, Deniz (MDPI, 2023)
      This paper provides a methodology to better understand the relationships between different aspects of vocal fold motion, which are used as features in machine learning-based approaches for detecting respiratory infections ...
    • Effects of neuronal noise on neural communication 

      Gençağa, Deniz; Şengül Ayan, Sevgi (Proceedings, 2019)
      In this work, we propose an approach to better understand the effects of neuronal noise on neural communication systems. Here, we extend the fundamental Hodgkin-Huxley (HH) model by adding synaptic couplings to represent ...
    • Statistical approaches for the analysis of dependency among neurons under noise 

      Gençağa, Deniz; Şengül Ayan, Sevgi; Farnoudkia, Hajar; Okuyucu, Serdar (MDPI, 2020)
      Neuronal noise is a major factor affecting the communication between coupled neurons. In this work, we propose a statistical toolset to infer the coupling between two neurons under noise. We estimate these statistical ...
    • Transfer entropy 

      Gençağa, Deniz (MDPI AG, 2018)
      Statistical relationships among the variables of a complex system reveal a lot about its physical behavior. Therefore, identification of the relevant variables and characterization of their interactions are crucial for a ...