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Yazar
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Konu Başlıkları
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Araştırmacılar

Effect of channel noise and dynamic synapse structure on latency dynamics in neural system
Classification of refractive disorders from electrooculogram (EOG) signals by using data mining techniques
Computer-assisted diagnosis of vertebral column diseases by adaptive neuro-fuzzy inference system
Subthreshold signal detection in heterogeneous neural networks
Proceedings | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Vibrational resonance in a Hodgkin-Huxley neuron under electromagnetic induction
Proceedings | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Koleksiyon: Bildiri Koleksiyonu ... ✕Koleksiyon: Elektrik - Elektroni ... ✕Dergi Adı: 26th IEEE Signal Pro ... ✕

- Mühendislik Fakültesi 5
- Bildiri Koleksiyonu (Elektrik - Elektronik Mühendisliği Bölümü) 5
- Elektrik - Elektronik Mühendisliği Bölümü 5
- Fakülteler 5
- Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD 5
- Scopus İndeksli Yayınlar Koleksiyonu 5
- Bildiri Koleksiyonu (Biyomedikal Mühendisliği Bölümü) 4
- Biyomedikal Mühendisliği Bölümü 4
- Tıp Fakültesi 1
- Bilgisayar Mühendisliği Bölümü 1
- Bildiri Koleksiyonu (Bilgisayar Mühendisliği Bölümü) 1
- Bildiri Koleksiyonu (Cerrahi Bilimler Bölümü) 1
- Cerrahi Bilimler Bölümü 1 Daha fazlası Daha az

- ANFIS 1
- Channel noise 1
- Clustering 1
- Data Mining 1
- Diagnosis 1
- Dynamic synapse 1
- Electromagnetic induction 1
- Electrooculogram (EOG) 1
- First spike 1
- Heterogeneity 1
- Hodgkin-Huxley neuron 1
- Hypermetropia 1
- Machine learning 1
- Myopia 1
- Neuron 1
- Subthreshold signal 1
- Vertebral column 1
- Vibrational resonance 1 Daha fazlası Daha az

Çalım, Ali | Özer, Mahmut | Uzuntarla, Muhammet

Proceedings | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Experimental and theoretical studies in recent years suggest that the first spike latency is an effective information carrier and contains more neural information than other spikes. Noise Delayed Decay (NDD) phenomenon emerges when the first spike latency of the neuron exposed to the periodic driving is maximum at a certain noise intensity interval. In this study, the latency dynamics of a single Hodgkin-Huxley neuron is investigated under periodic driving, background activity through dynamic synapses, and channel noise. The system response with first spike latency is investigated as a function of the presynaptic firing rate, the pa . . .rameter with an appropriate biophysical reality to control the level of activity in the nervous system. First, NDD behavior is investigated under suprathreshold stimulation in the presence of synapses at different levels of depression and channel noise. It is then desired to observe the NDD phenomenon under subthreshold stimulation with the same strategy. Our results have shown that the background activity occurring in the presence of dynamic synapses and the channel noise are significant system dynamics in observing the NDD behavior. © 2018 IEEE Daha fazlası Daha az

Kaya, Ceren | Erkaymaz, Okan | Ayar, Orhan | Özer, Mahmut

Proceedings | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Refractive disorders are common health problems in the community and they are the most important cause of visual impairment. In this study, it was aimed to classify the individuals who have hypermetropia and myopia refractive disorders or not. For this, horizontal and vertical Electrooculogram (EOG) signal data from the right and left eyes of the individuals were used. The performance of the data was investigated by using Logistic Regression (LR), Naive Bayes (NB), Random Forest (RF) and REP Tree (RT) data mining methods. According to the obtained results, REP Tree method has shown the most successful classification performance to d . . .etect hypermetropia and myopia refractive disorders from Electrooculogram (EOG) signals. © 2018 IEEE Daha fazlası Daha az

Uzun, Rukiye | İşler, Yalçın | Erkaymaz, Okan | Kocadayı, Yasemin

Proceedings | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

In this study, a clustering algorithm based on adaptive neural fuzzy inference system (ANFIS) was used for computer-assisted diagnosis of the vertebral column disorder from machine learning databases of UCI (University of California Irvine). Features of pelvic incidence, pelvic tilt and lumbar lordosis angle given in this dataset was applied to the inputs of the algorithm. The performance of algorithm was evaluated using mean square error and regression coefficient criteria to discriminate patients with vertebral column disease from healthy subjects. As a result, the classification performance of 90.82% was obtained by using the gen . . .erated model of ANFIS. © 2018 IEEE Daha fazlası Daha az

Çalım, Ali | Özer, Mahmut | Uzuntarla, Muhammet

In this study, effects of the heterogeneity in neuronal networks and subthreshold signal features on subthreshold signal detection in the nervous system is investigated. As most of studies in the literature investigate the subject by considering neuron populations as homogenous systems, in this study, the populations are considered as heterogeneous in terms of neuronal excitability. The information processing performance of the neuron populations is systematically studied by using mathematical equations for modeling the dynamics of the neurons, which are basic units of the system. As a result of the simulations performed, it is seen . . . that the sub-threshold signal frequency and the heterogeneity in the excitability are important system parameters for optimizing the information encoding performance. It is shown that the population encoding performance is maximized depending on the subthreshold signal frequency at different optimum levels of heterogeneity in the population. © 2018 IEEE Daha fazlası Daha az

Baysal, Veli | Yılmaz, Ergin

In this paper, effects of electromagnetic induction on vibrational resonance phenomenon in a Hodgkin-Huxley neuron are investigated. By stimulating Hodgkin-Huxley neuron with both high-frequency signal and low-frequency weak signal, its weak signal detection capacity have been investigated under electromagnetic induction effect. Obtained results show that electromagnetic induction causes decreasing of the amplitude of vibrational resonance effect emerging depending on the amplitude of high frequency signal. Also, vibrational resonance phenomenon occurs at smaller amplitudes of high frequency signal in Hodgkin-Huxley neuron which is . . .under electromagnetic induction effect. Finally, it is found that the best detection of the weak signal in a Hodgkin-Huxley neuron under electromagnetic induction effect is realized under an optimal electromagnetic current intensity. © 2018 IEEE Daha fazlası Daha az

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