Now showing items 1-8 of 8

    • BRAPH: A graph theory software for the analysis of brain connectivity 

      Mijalkov, M.; Kakaei, E.; Pereira, J. B.; Westman, E.; Volpe, G. (Public Library of Science, 2017)
      The brain is a large-scale complex network whose workings rely on the interaction between its various regions. In the past few years, the organization of the human brain network has been studied extensively using concepts ...
    • Dipole source reconstruction of brain signals by using particle swarm optimization 

      Alp, Yaşar Kemal; Arıkan, Orhan; Karakaş, S. (IEEE, 2009)
      Resolving the sources of neural activity is of prime importance in the analysis of Event Related Potentials (ERP). These sources can be modeled as effective dipoles. Identifying the dipole parameters from the measured ...
    • EEG işareti üzerinde sara ataklarının ve sara belirtisi işaretlerin bulunması 

      Yücel, Zeynep; Özgüler, A. Bülent (2008-04)
      Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed on electroencephalography (EEG) signal. This paper employs models of chaotic measures of EEG and aims to help detection ...
    • EEG sinyallerinde gamma tepkisinin tespiti 

      Tüfekçi, D. İlhan; Karakaş, S.; Arıkan, Orhan (IEEE, 2006-04)
      In the detection of the existence of the early gamma response, subjective methods have been used. In this study, an automated gamma detection technique is developed based on the features obtained from the time - frequency ...
    • Extraction of sparse spatial filters using Oscillating Search 

      Onaran, İbrahim; İnce, N. Fırat; Abosch, A.; Çetin, A. Enis (IEEE, 2012)
      Common Spatial Pattern algorithm (CSP) is widely used in Brain Machine Interface (BMI) technology to extract features from dense electrode recordings by using their weighted linear combination. However, the CSP algorithm, ...
    • İki durumlu bir beyin bilgisayar arayüzünde özellik çıkarımı ve sınıflandırma 

      Altındiş, Fatih; Yılmaz, B. (IEEE, 2017-10)
      Beyin bilgisayar arayüzü (BBA) teknolojisi motor nöronlarının özelliğini kaybeden ve hareket kabiliyeti kısıtlanmış ALS ve felçli hastalar gibi birçok kişinin dış dünya ile iletişimini sağlamaya yönelik kullanılmaktadır. ...
    • Neural correlates of acquired color category effects 

      Clifford, A.; Franklin, A.; Holmes, A.; Drivonikou V.G.; Özgen, E.; Davies I.R.L. (2012)
      Category training can induce category effects, whereby color discrimination of stimuli spanning a newly learned category boundary is enhanced relative to equivalently spaced stimuli from within the newly learned category ...
    • Seizure detection using least eeg channels by deep convolutional neural network 

      Avcu, Mustafa Talha; Zhang, Z.; Chan, D. W. S. (Institute of Electrical and Electronics Engineers Inc., 2019)
      This work aims to develop an end-to-end solution for seizure onset detection. We design the SeizNet, a Convolutional Neural Network for seizure detection. To compare SeizNet with traditional machine learning approach, a ...