Dissociable neural mechanisms supporting visual short-term memory for objects
By Yaoda Xu, Marvin M. Chun. Nature, 2006
989 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/9e37bcdf5d3b3659c9c7166e90a0bb28ce7a6e35
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Justin Riddle
- Hsuan-Yu Lin
- Klaus Oberauer
- Mark D'Esposito
- Bradley R. Postle
- Nicholas B. Turk-Browne
- Julie D. Golomb
- Marvin M. Chun
Citations in the corpus
- Discrete Capacity Limits in Visual Working Memory (2010, background): “Similarly, recent WM neuroimaging studies have shown that activation in the human intra-parietal sulcus also increases with set size and reaches an asymptote at approximately four items for both simple and complex items [5,7,22].”
- The mind and brain of short-term memory. (2008, background): “Xu & Chun (2006) offer neuroimaging evidence that may reconcile the item-based and complexity accounts: In a change-detection task, they found that activation of inferior intra-parietal sulcus tracked a capacity limit of four, but nearby regions were sensitive to the complexity of the memoranda, as…”
- Consciousness and cognitive access (2008, neutral): “One possible resolution is the argument of Xu and Chun (2006) that there are two different working memory systems with somewhat different brain bases, one of which fits the 'slot' model and the other of which fits the 'pool' model.”
- A new neural framework for visuospatial processing (2011, background): “In humans, the activity of these subdivisions is related to spatial working memory 71–73 .”
- The precision of visual working memory is set by allocation of a shared resource (2009, background): “Zhang and Luck (2008) did not show the overall performance of subjects in this way.”
- A taxonomy of external and internal attention. (2011, positive): “At the same time, increasing the complexity of features reduces overall capacity (Alvarez & Cavanagh 2004, Todd & Marois 2004, Xu & Chun 2006; but see Awh et al. 2007).”
- An Interference Model of Visual Working Memory (2017, background): “…correlates of WM set size, such as the contralateral delay activity (CDA) and the BOLD signal in the inferior intraparietal sulcus (IPS), reach plateau at the set size at which people’s capacity limit is reached (Kuo, Stokes, & Nobre, 2012; Vogel, McCollough, & Machizawa, 2005; Xu & Chun, 2006).”
- Visual Topography of Human Intraparietal Sulcus (2007, background): “…Schluppeck et al., 2005), multisensory integration (Kitada et al., 2006; Merabet et al., 2007), visual short-term memory (Todd and Marois, 2004; Xu and Chun, 2006), and visual attention (Culham et al., 1998; Kastner et al., 1999; Wojciulik and Kanwisher, 1999; McMains and Somers, 2004, 2005;…”
- Causal Evidence for a Role of Theta and Alpha Oscillations in the Control of Working Memory (2020, background): “Because WM capacity and retro-cue benefits can vary substantially across individuals, we hypothesized that MFG and IPS activity (assessed during the baseline fMRI session) may index the degree to which subjects engage task-driven prioritization and suppression processes during retro-cue trials [30, ”