A neural network model of the Attentional Blink phenomenon
SourceEngineering Intelligent Systems
Google Scholar check
MetadataShow full item record
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 interesting phenomenon has attracted much research in the fields of attention and perception but has also inspired the implementation of several computational models. In the present study we have implemented a model of selective attention that is capable of modelling a variety of findings related to the Attentional Blink. Importantly, the model produces synchronization of neural activity to simulate the interaction between a low-level visual system and a high-level goal-maintenance system during the deployment of attention. Synchronization of neural activity within and across brain areas is typically observed when carrying out various tasks that involve the attentional processing of information. Thus, the model provides a neurally and computationally plausible account for the Attentional Blink and potentially other attentional tasks. © 2009 CRL Publishing Ltd.
Showing items related by title, author, creator and subject.
An exploration of attentional and neural patterns during emotional processing: Combining attention modification training with continuous Theta Burst Stimulation Sikki, Maria C. (Πανεπιστήμιο Κύπρου, Σχολή Κοινωνικών Επιστημών και Επιστημών Αγωγής / University of Cyprus, Faculty of Social Sciences and Education, 2022-05)Εισαγωγή: Το άγχος και η αντικοινωνική συμπεριφορά χαρακτηρίζονται από ελλείματα προσοχής και δυσλειτουργίες εγκεφαλικής δραστηριότητας στην επεξεργασία των συναισθημάτων. Τεχνικές διακρανιακής μαγνητικής διέγερσης, όπως ...
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 ...
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 ...