Yazar "Korkmaz, Nimet" seçeneğine göre listele

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  • Küçük Resim Yok
    Öğe
    An extensive FPGA-based realization study about the Izhikevich neurons and their bio-inspired applications
    (Springer, 2021) Karaca, Zuhra; Korkmaz, Nimet; Altuncu, Yasemin; Kilic, Recai
    In this study, a comprehensive comparison about the hardware costs of the original and the modified Izhikevich neuron models and their applications have been presented to the literature. The chaotic behavior, the coupled version, the synchronization applications, and the control of the synchronization states of the original and the modified Izhikevich neurons have been handled and all of these structures have been also emulated with the FPGA-based realizations for the first time. The aim of this article is to show the suitability and the practicality of the Izhikevich neuron model to the electronic realization applications. According to this aim, firstly, the chaotic behaviors of the original and the modified Izhikevich neuron models have been observed with the numerical simulations. Then, the dynamical behaviors of two coupled original and two coupled modified Izhikevich neurons have been examined via the numerical analyses. After that, the synchronization status of two coupled original and two coupled modified Izhikevich neurons have been controlled by the Lyapunov method and these processes have been simulated numerically. Finally, all of these structures have been implemented with the FPGA device, separately. Therefore, it has been overcome the shortcomings in terms of the electronic realization applications of the Izhikevich neuron model. Besides, the device utilizations of the original and the modified Izhikevich neurons in the FPGA-based implementations have been compared inclusively.
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    Elektriksel ve kimyasal kuplajlı ızhikevich nöron modelinin geri adımlamalı kontrol yöntemi ile senkronizasyonu
    (2023) Karaca, Zühra; Korkmaz, Nimet; Kılıç, Recai
    Bu çalışmada, elektriksel ve kimyasal kuplajlı iki Izhikevich nöron modelinin geri adımlamalı kontrol yöntemi kullanılarak senkronizasyonu ele alınmıştır. Literatürde elektriksel olarak kuplajlanan Izhikevich nöron modeliyle yapılan çalışma sayısı fazlayken, kimyasal kuplaj ile oluşturulan yapıya ait çalışmalar sınırlıdır ve çift yönlü kimyasal olarak kuplajlanan Izhikevich nöron modelinin geri adımlamalı kontrol yöntemi kullanılarak senkronizasyonu ilk defa bu çalışmada ele alınmıştır. Geri adımlamalı kontrol yönteminin uygulandığı sistemin, kuplajlama ağırlığından bağımsız bir şekilde eş zamanlı olarak ateşlendiği, hem standart sapma analizi ile hem de simülasyon sonuçları gösterilmiştir.
  • Küçük Resim Yok
    Öğe
    Evaluating the effectiveness of several synchronization control methods applying to the electrically and the chemically coupled hindmarsh-rose neurons
    (Elsevier Sci Ltd, 2020) Cimen, Zuehra; Korkmaz, Nimet; Altuncu, Yasemin; Kilic, Recai
    This study focuses on the synchronization control between the coupled neurons. The achievements of several synchronization control methods have been checked by evaluating the effects of the synaptic coupling weight alteration on the synchronization. Here, a neural ensemble has been constructed by utilizing the Hindmarsh Rose (HR) Neuron Model. The HR neurons have been linked to each other with the bidirectional coupling. The synchrony or the asynchrony states between these coupled neurons have been observed by using the standard deviation results. Here, firstly, the electrically and the chemically coupled HR neurons have been handled without using any control method, separately and the effects of the synaptic coupling weight alteration on the synchronic firing have been assessed by considering the features of the coupling types. Then, while the electrically coupled HR neurons are generally preferred in the available synchronization control studies; the Lyapunov, the back-stepping, and the feedback synchronization control methods have been adapted to both the electrically and the chemically coupled HR neurons. Thus, a remarkable contribution has been provided to the limited number of studies, which are about the synchronization control of the chemically coupled HR neurons. Also, the synchronization control between the electrically or the chemically coupled HR neurons has been provided by the back-stepping method for the first time. Finally, the differences between the membrane potentials of the coupled neurons have been calculated by utilizing an alternative error function. Since this function calculates the amplitude and the phase errors, separately; the effectiveness of these methods can be evaluated correctly in terms of the performing the minimum differences between the neural dynamics.