Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Avraamides, Marios N."

Now showing items 1-9 of 9

    • Article  

      Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals 

      Moustra, M.; Avraamides, Marios N.; Christodoulou, Chris C. (2011)
      The aim of this study is to evaluate the performance of artificial neural networks in predicting earthquakes occurring in the region of Greece with the use of different types of input data. More specifically, two different ...
    • Article  

      Cognitive modeling of dilution effects in visual search 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2012)
      A biologically plausible neural network model of selective attention has been implemented to account for discrepant findings on the source of distractor interference in visual search tasks. The model successfully simulated ...
    • Article  

      Computational modeling of visual selective attention based on correlation and synchronization of neural activity 

      Neokleous,Kleanthis C.; Avraamides, Marios N.; Schizas, Christos N. (2009)
      Within the broad area of computational intelligence, it is of great importance to develop new computational models of human behaviour aspects. In this report we look into the recently suggested theory that neural synchronization ...
    • Article  

      A generic model of visual selective attention 

      Neokleous,Kleanthis C.; Avraamides, Marios N.; Schizas, Christos N. (2014)
      We present a computational model for the understanding of the fundamental principles of visual selective attention. The model has important medical, social and engineering applications that could benefit the general public. ...
    • Article  

      A neural network computational model of visual selective attention 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2009)
      One challenging application for Artificial Neural Networks (ANN) would be to try and actually mimic the behaviour of the system that has inspired their creation as computational algorithms. That is to use ANN in order to ...
    • Article  

      A neural network model of the Attentional Blink phenomenon 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neokleous, Kleanthis C.; Schizas, Christos N. (2009)
      The Attentional Blink refers to the finding that the perception of a target stimulus is often impaired when it is presented within a temporal window of 200-500 ms following another successfully-perceived stimulus. This ...
    • Conference Object  

      A neurocomputational model of visual selective attention for human computer interface applications 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2011)
      An overview of a neurocomputational model of visual selective attention that has been properly implemented is presented in this report. We briefly explain the basic components and neural interactions that comprise the model ...
    • Conference Object  

      A proposed extension of the CODAM model for human attention 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Ioannides, A. A.; Neocleous, Costas K.; Schizas, Christos N. (2009)
      A new computational model of visual attention is proposed on a theoretical basis, based on the CODAM model (Taylor, 2002, [25], 2006). Also a more general mechanism is proposed for an attention model of two or more senses ...
    • Article  

      Selective Attention and Consciousness: Investigating Their Relation Through Computational Modelling 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2011)
      The present study aimed at investigating the possible connection between conscious awareness and attention through the implementation of a neurocomputational model of visual selective attention. The development of the model ...