A taxonomy of external and internal attention.
By Marvin M. Chun, Julie D. Golomb, Nicholas B. Turk-Browne. Annual Review of Psychology, 2011
1,355 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/0b3f7bb774a4c4d76e5fda123a82647b0d963bc7
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
- Changkun Ou
- Sven Mayer
- Esther Luna Colombini
- D. Melcher
- E. Balestrieri
- Alana de Santana Correia
- Francesco Chiossi
- Reynol Junco
Citations in the corpus
- SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks (2021, background): “In fact, human attention acts as one of the most important selection mechanisms that prioritize task-relevant information and attenuate irrelevant signals (Reynolds & Chelazzi, 2004; Chun et al., 2011).”
- In-class multitasking and academic performance (2012, background): “Meaningful learning requires that a substantial amount of cognitive processing happen in either the visual or auditory channels (Chun et al., 2011; Mayer & Moreno , 2003).”
- Neural Evidence for a Distinction Between Short-Term Memory and the Focus of Attention (2011, neutral): “Although a link between attention and STM has been widely acknowledged for some time, the importance of internally directed attention for selecting subsets of information within STM ( Chun, Golomb, & Turk-Browne, 2011; Bays & Husain, 2008; Cowan, 1988) has only recently been recognized by neuroscie”
- Attentional Resource Allocation in Visuotactile Processing Depends on the Task, But Optimal Visuotactile Integration Does Not Depend on Attentional Resources (2016, background): “…Wahn bwahn@uos.de Received: 12 December 2015 Accepted: 23 February 2016 Published: 08 March 2016 Citation: Wahn B and König P (2016) Attentional Resource Allocation in Visuotactile Processing Depends on the Task, But Optimal Visuotactile Integration Does Not Depend on Attentional…”
- Attention, please! A survey of neural attention models in deep learning (2021, background): “Attention is necessary because, at any moment, the environment presents much more perceptual information than can be effectively processed, the memory contains more competing traits than can be remembered, and the choices, tasks, or motor responses available are much greater than can be dealt with (”
- Functional imaging studies of emotion regulation: A synthetic review and evolving model of the cognitive control of emotion (2012, neutral): “Second, distancing seems to recruit parietal regions implicated in spatial attention and representation to a greater extent, including perspective taking and the sense of agency 101-104 .”
- Exploring Physiological Correlates of Visual Complexity Adaptation: Insights from EDA, ECG, and EEG Data for Adaptation Evaluation in VR Adaptive Systems (2023, background): “, external or internal attention [17, 40] or working memory [45], which might be differentially allocated in complex tasks with different degrees of workload [1, 15].”