Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4335
Title: Selective Attention and Consciousness: Investigating Their Relation Through Computational Modelling
Authors: Neokleous, Kleanthis C. 
Avraamides, Marios N. 
Schizas, Christos N. 
Neocleous, Costas 
Major Field of Science: Social Sciences
Field Category: Medical Engineering
Keywords: Spiking neural networks;Visual selective attention;Consciousness
Issue Date: Mar-2011
Source: Cognitive Computation, 2011, vol. 3, no. 1, pp. 321-331
Volume: 3
Issue: 1
Start page: 321
End page: 331
Journal: Cognitive Computation 
Abstract: 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 was based on recent neurophysiological findings that document the synchronization of neural activity in cortical areas of the brain and the presence of competitive interactions among stimuli at the early stages of visual processing. The model was used to simulate the findings of a behavioural experiment conducted by Naccache et al. in Psychol Sci 13:416–424 (2002), which have sparked a debate on the possible links between attention and consciousness. The model reproduced closely the pattern of the behavioural data while incorporating mechanisms that take into account the neural activity representing the early visual processing of stimuli and the effects of top–down attention. Thus, by adopting a computational approach, we present a possible explanation of the findings at the neural level of information processing. The implications of these findings for the relation between attentional processes and conscious awareness are discussed.
URI: https://hdl.handle.net/20.500.14279/4335
ISSN: 18669964
DOI: 10.1007/s12559-010-9063-2
Rights: © Springer
Type: Article
Affiliation : University of Cyprus 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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