Neural dynamics of object-based multifocal visual spatial attention and priming: Object cueing, useful-field-of-view, and crowding

Abstract: How are spatial and object attention coordinated to achieve rapid object learning and recognition during eye movement search? How do prefrontal priming and parietal spatial mechanisms interact to determine the reaction time costs of intra-object attention shifts, inter-object attention shi...

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Publicado en:Cognitive Psychology Vol. 65; no. 1; pp. 77 - 118
Autores principales: Foley, Nicholas C., Grossberg, Stephen, Mingolla, Ennio
Formato: Artículo
Publicado: Academic Press Inc. Aug2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2012
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      pub: Academic Press Inc.
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        74468271
        10.1016/j.cogpsych.2012.02.001
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        atl: Neural dynamics of object-based multifocal visual spatial attention and priming: Object cueing, useful-field-of-view, and crowding
      aug:
        au:
          Foley, Nicholas C.
          Grossberg, Stephen
          Mingolla, Ennio
      su:
        Attention
        Crowds
        Learning
        Pattern perception
        Eye movements
        Neurons
        Cerebral cortex
        Reaction time
        Basal ganglia
      sug:
        subj:
          Attention
          Crowds
          Learning
          Pattern perception
          Eye movements
          Neurons
          Cerebral cortex
          Reaction time
          Basal ganglia
      keyword:
        Attentional shroud
        Crowding
        Object attention
        Object recognition
        Parietal cortex
        Prefrontal cortex
        Spatial attention
        Surface perception
        Sustained attention
        Transient attention
        Attentional shroud
        Crowding
        Object attention
        Object recognition
        Parietal cortex
        Prefrontal cortex
        Spatial attention
        Surface perception
        Sustained attention
        Transient attention
      ab: Abstract: How are spatial and object attention coordinated to achieve rapid object learning and recognition during eye movement search? How do prefrontal priming and parietal spatial mechanisms interact to determine the reaction time costs of intra-object attention shifts, inter-object attention shifts, and shifts between visible objects and covertly cued locations? What factors underlie individual differences in the timing and frequency of such attentional shifts? How do transient and sustained spatial attentional mechanisms work and interact? How can volition, mediated via the basal ganglia, influence the span of spatial attention? A neural model is developed of how spatial attention in the where cortical stream coordinates view-invariant object category learning in the what cortical stream under free viewing conditions. The model simulates psychological data about the dynamics of covert attention priming and switching requiring multifocal attention without eye movements. The model predicts how “attentional shrouds” are formed when surface representations in cortical area V4 resonate with spatial attention in posterior parietal cortex (PPC) and prefrontal cortex (PFC), while shrouds compete among themselves for dominance. Winning shrouds support invariant object category learning, and active surface-shroud resonances support conscious surface perception and recognition. Attentive competition between multiple objects and cues simulates reaction-time data from the two-object cueing paradigm. The relative strength of sustained surface-driven and fast-transient motion-driven spatial attention controls individual differences in reaction time for invalid cues. Competition between surface-driven attentional shrouds controls individual differences in detection rate of peripheral targets in useful-field-of-view tasks. The model proposes how the strength of competition can be mediated, though learning or momentary changes in volition, by the basal ganglia. A new explanation of crowding shows how the cortical magnification factor, among other variables, can cause multiple object surfaces to share a single surface-shroud resonance, thereby preventing recognition of the individual objects.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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