Spatio-temporal templates of transient attention revealed by classification images

Anno: 2012

Autori: Megna N., Rocchi F., Baldassi S.

Affiliazione autori: Univ Florence, Dept Psychol, I-50135 Florence, Italy; Univ Florence, Dept Phys & Astron, I-50019 Florence, Italy; Natl Opt Inst, I-50125 Florence, Italy; Univ Nottingham, Sch Psychol, Visual Neurosci Grp, Nottingham NG7 2RD, England

Abstract: Visual attention is captured by transient signals in the periphery of the visual field, allowing enhanced perceptual representations in spatial tasks. However, it has been reported that the same cues impair performance in temporal tasks (e.g.. Yeshurun, 2004; Yeshurun & Levy, 2003). This findings suggest that transient attention enhances the activity of slow, high-resolution channels, like parvocellular neurons, and/or shuts off faster channels better sensitive to low spatial frequencies, such as the ones of the magnocellular system. To test this idea, we have measured the spatio-temporal perceptive fields for transiently cued signals at various eccentricities using the classification images (CI) technique. At near eccentricities transient attention caused the perceptual templates to be sharper in space and characterized by much stronger high spatial frequency components. At the same time, they show a consistently larger temporal integration window. These effects of attention on perceptual filters are strongly reduced at far eccentricities and disappear when using longer target-cue lags. These data provide evidence in support of the parvocellular model of transient, exogenous attention, showing that in the presence of a well timed spatial cue observers rely on noisy evidence lasting longer and with finer spatial configurations. (C) 2011 Elsevier Ltd. All rights reserved.

Giornale/Rivista: VISION RESEARCH

Volume: 54      Da Pagina: 39  A: 48

Maggiori informazioni: This work has been supported by the ERC project STANIB.
Parole chiavi: Classification images; Attention; Parvocellular system; Magnocellular system;
DOI: 10.1016/j.visres.2011.11.012

Citazioni: 14
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-04-28
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