Control of goal-directed and stimulus-driven attention in the brain

By Maurizio Corbetta, Gordon L. Shulman. 2002

12,739 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neuroscience

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Citations in the corpus

Attention on Attention for Image Captioning (2019, methodology): “The attention mechanism [32, 9], which is derived from human intuition, has been widely applied and yielded significant improvements for various sequence learning tasks.”
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (2015, background): “One of the most curious facets of the human visual sys-tem is the presence of attention (Rensink, 2000; Corbetta & Shulman, 2002).”
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering (2017, background): “, looking for something), and automatically by bottom-up signals associated with unexpected, novel or salient stimuli [3, 6].”
Stacked Cross Attention for Image-Text Matching (2018, background): “[1] to analogize the detection of salient regions at object/stuff level to the spontaneous bottom-up attention in the human vision system [4, 6, 21], and practically imple-”
BAM: Bottleneck Attention Module (2018, background): “A number of studies [8, 24, 38] have shown that attention plays an important role in human perception.”
CBAM: Convolutional Block Attention Module (2018, background): “It is well known that attention plays an important role in human perception [23,24,25].”
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning (2016, background): “Its success is mainly due to the reasonable assumption that human vision does not tend to process a whole image in its entirety at once; instead, one only focuses on selective parts of the whole visual space when and where as needed [5].”
The neural bases of momentary lapses in attention (2006, background): “Finally, we investigated whether a ventral fronto-parietal network previously implicated in reorienting attentio”
Regulation of the Neural Circuitry of Emotion by Compassion Meditation: Effects of Meditative Expertise (2008, neutral): “[21].”
A taxonomy of external and internal attention. (2011, positive): “For example, maintenance of spatial locations in working memory biases spatial attention to those locations (Awh & Jonides 2001, Corbetta & Shulman 2002), and these biases occur for specific shapes as well (Downing 2000, Soto et al. 2005).”
Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain (2012, neutral): “Spatially distinct and functionally competitive, the “default” and “dorsal attention” networks subserve internally-and externally-directed cognition, respectively (Andrews-Hanna, 2012; Corbetta & Shulman, 2002; Fox et al., 2005).”
Exploring Ad-Elicited Emotional Arousal and Memory for the Ad Using fMRI (2013, background): “…indicate attentional distinctions between the memorable and unmemorable ads, as no neural activation variations were observed in attention-related brain regions, that is, the medial occipital and medial temporal gyri (Ungerleider and Haxby 1994) or the parietal cortex (Corbetta and Shulman 2002).”
Human Empathy Through the Lens of Social Neuroscience (2006, background): “In a number of studies (see [69], for review), it has been demonstrated that the right TPJ is specifically activated when subjects focusing their attention on a certain screen location are presented with a stimulus at a nonattended location, representing a violation of their expectancy and requiring”
Anxiety and cognitive performance: attentional control theory. (2007, methodology): “The theoretical assumption that anxiety impairs attentional control can be related to the view (e.g., Corbetta & Shulman, 2002; Posner & Petersen, 1990) that there are two attentional systems.”
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications (2019, methodology): “Inspired by the human vision system [32], numerous attention models [33], [34] have been developed for vision tasks.”
α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection (2006, background): “…visual areas for incoming visual information, presumably through top-down control from higher-order attention areas (Kastner et al., 1999; Hopfinger et al., 2000; Corbetta and Shulman, 2002), in analogy to the mechanisms of signal gain control of visual neurons in animals (Moore et al., 2003).”
The cortical dynamics of speaking: present shortcomings and future avenues (2016, background): “…temporo-parietal junction (TPJ) (note that arrows from these regions to the language areas are for visual purposes only and do not represent a structural claim about the connectivity) (based on, e.g. Corbetta & Shulman, 2002). word production components in some, but not most cases (see Figure 2).”