The role of neural mechanisms of attention in solving the binding problem.

By John H. Reynolds, Robert Desimone. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

On the Binding Problem in Artificial Neural Networks (2020, methodology): “, 2010) or attention using common location tags (Reynolds and Desimone, 1999; Robertson, 2005).”
Waking State: Rapid Variations Modulate Neural and Behavioral Responses (2015, unknown): “, 2009), increases the S/N and both spontaneous and evoked firing rates (Luck et al., 1997; McAdams andMaunsell, 1999b; Reynolds et al., 1999; Reynolds and Desimone, 1999), and enhances gamma synchronization (Fries et al.”
A neurodynamical cortical model of visual attention and invariant object recognition. (2004, unknown): “…(Chelazzi, 1998; Chelazzi, Miller, Duncan, & Desimone , 1993; Miller, Gochin, & Gross, 1993; Moran & Desimone, 1985; Motter, 1993, 1994a, 1994b; Reynolds & Desimone, 1999; Rolls & Tovee, 1995; Spitzer, Desimone, & Moran, 1988) have been performed suggesting biased competition neural mechanisms…”
Covert attention increases spatial resolution with or without masks: support for signal enhancement. (2002, background): “…neurons and results in stronger and more selective responses in both V4 and MT/MST neurons (e.g., Desimone & Duncan, 1995; McAdams & Maunsell, 1999; Reynolds & Desimone, 1999; Treue & Martinez-Trujillo, 1999) and fMRI studies have shown attentional modulation in striate and extrastriate visual…”
Visual attention: The past 25 years (2011, background): “Some of these models presume that spatial attention always has the same effect on the excitation and suppression (that is, the numerator and the denominator of the normalization equation), always yielding a contrast gain change (Boynton, 2009; Reynolds & Chelazzi, 2004; Reynolds & Desimone, 1999).”
The neural binding problem(s) (2013, background): “Reynolds and Desimone (1999) survey the early results on attention in feature binding.”
Neurodynamics of biased competition and cooperation for attention: a model with spiking neurons. (2005, methodology): “Minimal model corresponding to the " Biased Competition " experiments of Reynolds et al. (1999) .”
Scene segmentation by spike synchronization in reciprocally connected visual areas. II. Global assemblies and synchronization on larger space and time scales (2002, methodology): “The simulations of Fig. 4 demonstrate that many results of experiments concerning attention and biased competition (Moran and Desimone 1985; Reynolds and Desimone 1999 ) can be reproduced by our model.”
Frontiers in Integrative Neuroscience Integrative Neuroscience Neural Synchrony in Cortical Networks: History, Concept and Current Status (unknown): “Studies in monkeys and humans have shown that attention can selectively enhance processing of image features (Desimone and Duncan, 1995; Reynolds and Desimone, 2000; Sheinberg and Logothetis, 2001; Spitzer et al., 1988).”