Neural mechanisms of selective visual attention.
By Robert Desimone, John S. Duncan. 1995
Subfields: Neuroscience, Cognitive Science & Psychology
How researchers see this paper
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In Neuroscience
- John H. Reynolds
- Matthew Botvinick
- Marvin M. Chun
- Michael W. Spratling
- Frank Tong
- Bernhard Hommel
- Xiao-Jing Wang
- Luiz Pessoa
In Cognitive Science & Psychology
- Laurent Itti
- Ali Borji
- Ming-Ming Cheng
- John H. Reynolds
- Antonio Torralba
- Christof Koch
- E. T. Rolls
- A. Hollingworth
Citations in the corpus
- Recurrent Independent Mechanisms (2019, background): “The notion that enhancement of the relevant information necessarily results in suppression of irrelevant information is fundamental to biased competition theory (Desimone & Duncan, 1995).”
- Few-Shot and Continual Learning with Attentive Independent Mechanisms (2021, background): “The strict selection of mechanisms forces the mechanisms to compete with each other to attend to the incoming signal, modeling the biased competition theory of selective attention [9].”
- Top-Down Neural Attention by Excitation Backprop (2016, background): “ioral goals can affect the feature and location expectancy in visual processing (Wolfe 1994;Anne 1980;Koch andUllman 1987; Desimone and Duncan 1995), and bias the competition among the neurons (Reynolds and Heeger 2009; Tsotsos et al. 1995; Desimone and Duncan 1995; Desimone 1998; Diane 2009).”
- Attentive Recurrent Comparators (2017, background): “It is known that attention brings in selectivity in processing information while reducing the processing load (Desimone & Duncan, 1995).”
- Attentional modulation of visual processing. (2004, methodology): “This model, described in detail elsewhere (Reynolds et al. 1999), was conceived as a way of formalizing the biased competition model of Desimone & Duncan (1995).”
- State-of-the-Art in Visual Attention Modeling (2013, background): “For a review on computational models of visual attention in general, including biased competition [10], selective tuning [15], normalization models of attention [181], and many others; please refer to [8].”
- A neural basis for real-world visual search in human occipitotemporal cortex (2011, background): “At a neural level, it has been suggested that search preparation may be mediated by activity of neurons that are directly involved in the perceptual discrimination of targets from distractors (7).”
- Computational modelling of visual attention (2001, methodology): “Following this basic architecture, we now illustrate five essential visual awareness 10,11 .”
- The Development of Executive Attention: Contributions to the Emergence of Self-Regulation (2005, background): “…recording have demonstrated that a number of brain areas such as the superior parietal lobe and temporal parietal junction playa keyrole in modulating activitywithin primaryand extrastriate visual systems when attentional orienting occurs (Corbetta & Shulman, 2002; Desimone & Duncan, 1995).”
- The role of neural mechanisms of attention in solving the binding problem. (1999, background): “The Role of Competition neuronal responses in a behavioral paradigm that allowed us to isolate automatic sensory processing mech-Desimone and Duncan (1995) have proposed that such anisms from attentional ones (Reynolds et al., 1999).changes in spatial resolution may emerge as a result of We first…”
- Neuroimaging of Priming: New Perspectives on Implicit and Explicit Memory (2001, background): “For instance, in a series of studies by Desimone and Miller and their colleagues (summarized in Desimone & Duncan, 1995), animals viewed complex visual objects, such as patterns or faces, while experimenters recorded the activity of cells in the lower, or inferior, temporal (IT) lobe.”
- Arousal-biased competition in perception and memory (2011, unknown): “…accounts for these object-based effects by assuming that objects in the visual field compete for neural representation (Bundesen, 1990; Bundesen, Habekost, & Kyllingsbaek, 2005; Deco & Rolls, 2005; Desimone, 1998; Desimone & Duncan, 1995; Kastner & Ungerleider, 2001; Miller & Cohen, 2001).”
- Interactions between emotion regulation strategies and affective style: Implications for trait anxiety versus depressed mood (2007, background): “In addition, it is important to consider other endophenotypes for emotion regulation, such as cognitive control capacities like conflict monitoring and response inhibition that may bolster emotion regulation by increasing behavioral flexibility and by guiding goal-directed actions (Davidson et al. 2”