Top-down versus bottom-up attentional control: a failed theoretical dichotomy
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TLDR
This work describes an alternative framework, in which past selection history is integrated with current goals and physical salience to shape an integrated priority map.About:
This article is published in Trends in Cognitive Sciences.The article was published on 2012-08-01 and is currently open access. It has received 1121 citations till now. The article focuses on the topics: Salience (neuroscience) & Stimulus Salience.read more
Citations
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The representation of visual salience in monkey parietal cortex
TL;DR: The lateral intraparietal area (LIP) as mentioned in this paper has been shown to have visual responses to stimuli appearing abruptly at particular retinal locations (their receptive fields) and the visual representation in LIP is sparse, with only the most salient or behaviourally relevant objects being strongly represented.
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Norepinephrine ignites local hotspots of neuronal excitation: How arousal amplifies selectivity in perception and memory.
TL;DR: GANE not only reconciles apparently contradictory findings in the emotion-cognition literature but also extends previous influential theories of LC neuromodulation by proposing specific mechanisms for how LC-NE activity increases neural gain.
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Rewards teach visual selective attention.
TL;DR: Overall this emerging literature demonstrates unequivocally that rewards "teach" visual selective attention so that processing resources will be allocated to objects, features and locations which are likely to optimize the organism's interaction with the surrounding environment and maximize positive outcome.
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Bottom-Up and Top-Down Attention: Different Processes and Overlapping Neural Systems
TL;DR: Although distinct processes mediate the guidance of attention based on bottom-up and top-down factors, a common neural apparatus, the frontoparietal network, is essential in both types of attentional processes.
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The attention habit: how reward learning shapes attentional selection
TL;DR: The progress that has been made in this area is reviewed, synthesizing a wealth of recent evidence to provide an integrated, up‐to‐date account of value‐driven attention and some of its broader implications.
References
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Control of goal-directed and stimulus-driven attention in the brain
TL;DR: Evidence for partially segregated networks of brain areas that carry out different attentional functions is reviewed, finding that one system is involved in preparing and applying goal-directed selection for stimuli and responses, and the other is specialized for the detection of behaviourally relevant stimuli.
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Orienting of attention
TL;DR: This paper explores one aspect of cognition through the use of a simple model task in which human subjects are asked to commit attention to a position in visual space other than fixation by orienting a covert mechanism that seems sufficiently time locked to external events that its trajectory can be traced across the visual field in terms of momentary changes in the efficiency of detecting stimuli.
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Neural Mechanisms of Selective Visual Attention
Robert Desimone,John S. Duncan +1 more
TL;DR: The two basic phenomena that define the problem of visual attention can be illustrated in a simple example and selectivity-the ability to filter out un wanted information is illustrated.
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The Attention System of the Human Brain
TL;DR: Illustration de trois fonctions principales qui sont predominantes dans l'etude de l'intervention de l'sattention dans les processus cognitifs: 1) orientation vers des evenements sensoriels; 2) detection des signaux par processus focal; 3) maintenir la vigilance en etat d'alerte
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Computational modelling of visual attention.
Laurent Itti,Christof Koch +1 more
TL;DR: Five important trends have emerged from recent work on computational models of focal visual attention that emphasize the bottom-up, image-based control of attentional deployment, providing a framework for a computational and neurobiological understanding of visual attention.