Now showing items 1-7 of 7

    • 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 ...
    • Detection of epilepsy seizures and epileptic indicators in EEG signals 

      Yücel, Z.; Özgüler, A.B. (2008)
      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 ...
    • Detection of gamma responses in EEG signals 

      Tüfekçi, D.I.; Karakaş, S.; Arikan, O. (2006)
      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 ...
    • Dipole source reconstruction of brain signals by using particle swarm optimization 

      Alp, Y.K.; Arikan, O.; Karakaş, S. (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 ...
    • Extraction of sparse spatial filters using Oscillating Search 

      Onaran I.; Firat Ince, N.; Abosch, A.; Enis Cetin, A. (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, ...
    • Feature extraction and classification in a two-state brain-computer interface 

      Altindis, F.; Yilmaz, B. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ...
    • 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 ...