Interacting roles of attention and visual salience in V4.

By John H. Reynolds, Robert Desimone. 2003

440 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

Normalization as a canonical neural computation (2011, background): “As predicted by such a model, there is evidence for suppression in ventral stream area V4 and the inferotemporal cortex ( IT ) when a non-preferred stimulus (or object) is presented with a preferred stimulu”
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world (2013, background): “…by these concepts, including how spatial attention can increase the perceived brightness of a surface (Carrasco, Penpeci-Talgar, & Eckstein, 2000; Reynolds & Desimone, 2003), how predictive remapping of eye position occurs (Duhamel, Colby, & Goldberg, 1992; Gottlieb, Kusunoki, & Goldberg, 2005;…”
Global Contrast Based Salient Region Detection (2015, neutral): “F”
Fundamental components of attention. (2007, background): “In contrast, neurons tuned for different stimulus parameters often exhibit a decrease in sensitivity (Chelazzi et al. 1993, Reynolds & Desimone 2003, Treue & Martinez Trujillo 1999).”
Visual attention: The past 25 years (2011, result): “…unattended stimulus, its contrast needed to be 50% higher than that of the attended stimulus; i.e., attention was equivalent to about 50% increase in contrast (Reynolds et al., 2000); similar estimates have been obtained in MT (Martinez-Trujillo & Treue, 2002) and in V4 (Reynolds & Desimone, 2003).”
Attentional modulation of visual processing. (2004, methodology): “…the response to the pair, but attending to the poor stimulus often reduces the response elicited by the pair (Chelazzi et al. 1998, 2001; Luck et al. 1997; Martínez-Trujillo & Treue 2002; Reynolds et al. 1999; Reynolds & Desimone 2003; Treue & Martínez-Trujillo 1999; Treue & Maunsell 1996).”
Neurodynamics of biased competition and cooperation for attention: a model with spiking neurons. (2005, methodology): “A detailed parameter space exploration of the different dynamical attractors of a neural system, even for the most simple and minimal neural circuit involved in biased competition as set out by Reynolds et al. (1999), is also still missing and could yield extremely relevant information about the rol”
Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback (2014, background): “…that were amplified by modulating FB have increased impact to lower the responses of other cells in the pool leading to enhancement and reduction of neural firing rates (i.e., biased competition, a mechanism proposed to explain target feature selection in attention; Reynolds & Desimone, 2003).”
The Normalization Model of Attention (2009, background): “Reynolds and Desimone (2003) took this a step further by showing, also consistent with the predictions of normalization, that the magnitude of suppression increased with the contrast of the nonpreferred stimulus.”
Global contrast based salient region detection (2011, background): “It is widely believed that human cortical cells may be hard wired to preferentially respond to high contrast stimulus in their receptive fields [23].”
Leveraging stereopsis for saliency analysis (2012, background): “These multi-disciplinary studies have shown that the human vision system is particularly sensitive to high-contrast stimulus (c.f. [17] [29] [31]).”
Salient objects in a scene trigger enhanced perceptual selection and memory encoding (2025, unknown): “If visual salience were a computation that was resolved at early perceptual stages, as is sometimes assumed (Reynolds & Desimone, 2003; Fecteau & Munoz, 2006), then we should have seen our effects were restricted to N2pc amplitude and duration effects, with subsequent memory processes differing…”
Functional Specialization in the Attention Network (2019, background): “…neural responses in the extrastriate cortex to a pair of simultaneously presented stimuli can be dominated by the higher-contrast stimulus, suggesting that competition can also be biased in favor of stimulus-driven factors such as stimulus salience (Beck & Kastner 2009, Reynolds & Desimone 2003).”