A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition

By Moshe Bar. Journal of Cognitive Neuroscience, 2003

917 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4190ef4eb4f36fd5a39398713adeff99102b06cd

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Citations in the corpus

Very first impressions. (2006, background): “Low spatial frequencies are known to be extracted rapidly (see Bar, 2003 , for a review) and, furthermore, to involve neural circuitry implicated in processes related to threat perception (Adolphs et al., 1999; Vuilleumier, Armony, Driver, & Dolan, 2003).”
Emotion and attention: event-related brain potential studies. (2006, background): “For instance, heavy interconnections are described for the dorsolateral prefrontal cortex, a key structure in the frontoparietal network organizing explicit attention effects, and the ventromedial prefrontal cortex, part of the paralimbic and limbic network implicated in emotional stimulus evaluatio”
Quantifying the role of context in visual object recognition (2010, background): “Bar and colleagues (Bar, 2003; Bar & Aminoff, 2003) have also proposed that scene-based contextual information is subserved by a distinct cortical network in MTL encompassing the parahippocampal cortex (PHC) and 52 BARENHOLTZ”
Seeing “us vs. them”: Minimal group effects on the neural encoding of faces (2013, positive): “This finding provides a critical advance to the growing evidence that conceptual and motivational factors can affect visual processes thought to be impenetrable to top–down input (Balcetis & Dunning, 2006; Bar, 2003; Bruner, 1957; Summerfield et al., 2006).”
How brains beware: neural mechanisms of emotional attention. (2005, background): “This is possibly related to the extraction of coarse sensory cues that can propagate rapidly in perceptual pathways [47], but the exact nature and origin of these inputs remain controversial [48] (Box 2). Frontal and parietal areas involved in attention also respond rapidly to coarse features [49] t”
Humans Prefer Curved Visual Objects (2006, background): “By giving a high priority to the processing of threat-specific physical primitives, possibly using rapidly available low-level sensory information (Bar, 2003), the human cortex might be designed for detecting such features quickly.”
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition (2017, background): “The exact way that the top-down mechanism is involved is not fully understood, but Bar [4] proposed a hypothesis that low spatial frequency features trigger the quick “initial guesses” of the objects, and then the “initial guesses” are back-projected to low level visual cortex to integrate with the ”
Subcortical face processing (2005, methodology): “One possibility is that these early components indicate a fast, magnocellular cortical route that provides top-down facilitation from prefrontal areas for later, more detailed processing by the VENTRAL VISUAL PATHWAY”
Top-down Enhancement and Suppression of the Magnitude and Speed of Neural Activity (2005, background): “Human interaction with the environment involves a fluid integration of internally driven, goal-directed decisions concerning encountered stimuli (top-down modulation) and externally driven, perceptual influences that demand attention based on stimulus salience (bottom-up processes) (Bar, 2003; Frith”
The cortical dynamics of speaking: present shortcomings and future avenues (2016, background): “…pathways and decreasing the sensitivity of the (automatic) target-irrelevant pathways, just as advocated in other domains of cognition (e.g. Bar, 2003; Corbetta & Shulman, 2002; Desimone & Duncan, 1995; Engel et al., 2001; Gilbert & Li, 2013; Heald & Nusbaum, 2014; Hillyard et al., 1998;…”
A predictive network architecture for a robust and smooth robot docking behavior (2012, background): “This object feature selection, on the other hand, also provides a cue in the early visual cortex to predict upcoming sensory data via recurrent and top-down connections based on the prior noisy sensory information [3, 4].”
Visual objects in context (2004, background): “A slight variation of this idea is that when a context frame is activated it might sensitize the representation of all the objects associated with it, so that when the input image has been sufficiently analysed to be compared with memory, this contextual activation facilitates convergence into the m”
The Curvature Effect (2016, methodology): “Taken together, these findings are in contrast with the hypothesis that angles convey a sense of threat due to their spiky transitions and as a consequence observers tend to dislike them (Bar & Neta, 2006, 2007). The threat hypothesis for angular stimuli is supported by functional magnetic resonance”
Left ventrolateral prefrontal cortex and the cognitive control of memory. (2007, neutral): “996; Kelley et al., 1998; Prabhakaran, Narayanan, Zhao, & abrieli, 2000; Sala, Rama, & Courtney, 2003) and object erception and recognition (Bar, 2003; Bar et al., 2001; Grillpector, Kourtzi, & Kanwisher, 2001).”