Literature DB >> 9718958

The effects of practice on object-based, location-based, and static-display inhibition of return.

B Weaver1, J Lupiáñez, F L Watson.   

Abstract

We report two experiments that examine the effects of practice on object-based, location-based, and static-display inhibition of return (IOR). The results are clear: All three effects get smaller with practice. These findings are at odds with the results of Müller and von Mühlenen (1996), who failed to observe object-based IOR and detected no effect of practice on static-display IOR. However, their subjects were more practiced than ours prior to data collection. We suggest, therefore, that the reducing effect of practice on IOR have occurred in their unrecorded practice sessions. We also discuss a two-process model in which IOR is seen as the net effect of underlying inhibitory and excitatory processes. In such models (e.g., Solomon & Corbit, 1974), practice often results in a reduction of the net effect of the two processes.

Entities:  

Mesh:

Year:  1998        PMID: 9718958     DOI: 10.3758/bf03211934

Source DB:  PubMed          Journal:  Percept Psychophys        ISSN: 0031-5117


  10 in total

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2.  An intact eye-movement system is not required to generate inhibition of return.

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3.  Involuntary cueing effects during smooth pursuit: facilitation and inhibition of return in oculocentric coordinates.

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5.  Binding objects to locations: the relationship between object files and visual working memory.

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6.  Between-trial inhibition and facilitation in goal-directed aiming: manual and spatial asymmetries.

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7.  Space-based but not object-based inhibition of return is impaired in Parkinson's disease.

Authors:  Katherine L Possin; J Vincent Filoteo; David D Song; David P Salmon
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8.  Shape effects on reflexive spatial selective attention and a plausible neurophysiological model.

Authors:  Saumil S Patel; Xinmiao Peng; Anne B Sereno
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9.  Decision, sensation, and habituation: a multi-layer dynamic field model for Inhibition of Return.

Authors:  Jorge Ibáñez-Gijón; David M Jacobs
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

10.  Measuring attention using the Posner cuing paradigm: the role of across and within trial target probabilities.

Authors:  Dana A Hayward; Jelena Ristic
Journal:  Front Hum Neurosci       Date:  2013-05-17       Impact factor: 3.169

  10 in total

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