Neural dynamics of attentional cross-modality control
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Public Library of ScienceDate
2013-05-16Citation
10.1371/journal.pone.0064406
PLoS ONE 8.5 (2013): e64406
ISSN
1932-6203DOI
10.1371/journal.pone.0064406Funded by
MIR acknowledges support from ONR grant N00014-07-1-074. IT acknowledges support from the UC-MEXUS-CONACYT Fellowship. PV was supported by MINECO TIN2012-30883Editor's Version
http://dx.doi.org/10.1371/journal.pone.0064406Subjects
Attention; Cognition; Cognitive neurology; Information processing; Neural networks; Perception; Sensory perception; Working memory; InformáticaNote
Neural Dynamics of Attentional Cross-Modality Control. Rabinovich et al. PLoS ONE. 2013. 8(5) doi:10.1371/journal.pone.0064406Rights
© 2013 Rabinovich et al.Abstract
Attentional networks that integrate many cortical and subcortical elements dynamically control mental processes to focus on specific events and make a decision. The resources of attentional processing are finite. Nevertheless, we often face situations in which it is necessary to simultaneously process several modalities, for example, to switch attention between players in a soccer field. Here we use a global brain mode description to build a model of attentional control dynamics. This model is based on sequential information processing stability conditions that are realized through nonsymmetric inhibition in cortical circuits. In particular, we analyze the dynamics of attentional switching and focus in the case of parallel processing of three interacting mental modalities. Using an excitatory-inhibitory network, we investigate how the bifurcations between different attentional control strategies depend on the stimuli and analyze the relationship between the time of attention focus and the strength of the stimuli. We discuss the interplay between attention and decision-making: in this context, a decision-making process is a controllable bifurcation of the attention strategy. We also suggest the dynamical evaluation of attentional resources in neural sequence processing.
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Google Scholar:Rabinovich, Mikhail I.
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Tristan, Irma
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Varona Martínez, Pablo
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