Integrated model of visual processing.

By J. Bullier. Brain research. Brain research reviews, 2001

1,007 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7bb86f703f4902a6085410d245ecae9b4f808030

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

In Electrical and Electronic Engineering

Citations in the corpus

N170 or N1? Spatiotemporal differences between object and face processing using ERPs. (2004, methodology): “processing (Bullier, 2001) as by 100–120 ms, integrated”
A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition (2003, neutral): “indicate that top-down mechanisms may play a central role in visual processing (Bullier, 2001; Engel, Fries, & Singer, 2001; Gilbert, Sigman, & Crist, 2001; Moore & Engel, 2001; Pascual-Leone & Walsh, 2001; Hopfinger, Buonocore, & Mangun, 2000; Miyashita & Hayashi, 2000; Siegel, Kording, & König, 20”
Inception Transformer (2022, background): “Actually, human visual system extracts visual elementary features at different frequencies [15–17]: low frequency provides global information about a visual stimulus, and high frequency conveys local spatial changes in the image ( e.g. , local edges/textures).”
The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain (2010, background): “This latency cannot be explained solely by synaptic delays, since measurements of conduction velocity of cortical feedforward and feedback connections showed that they can be rapid, even faster than intrinsic connections within a cortical area [163,164].”
How Do Expectations Shape Perception? (2018, background): “One possibility is that all regions send their predictions to a shared ‘blackboard’ that resides in the primary visual cortex, facilitating the combining of different priors [140,141].”
Learning Layer-Skippable Inference Network (2020, background): “In neuroscience, the experimental evidence [48], [49] also indicates that the path optimization may exist in the parvocellular pathways of the left and right hemispheres when the low and high-pass signals are processed, which supports the biological plausibility of the idea of path selection.”
How brains beware: neural mechanisms of emotional attention. (2005, background): “frontal areas also plays an important role in guiding visual attention [ 49 ] and object recognition [50,79].”
Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback (2014, background): “…is that cortical areas are mostly bidirectionally connected: FF signals drive, while FB signals tend to enhance the gain of the driving FF input (Sherman & Guillery, 1998; Sandell & Schiller, 1982; Bullier, McCourt, & Henry, 1988; Salin & Bullier, 1995; Hupé et al., 1998; Bullier, 2001).”
A network of occipito-temporal face-sensitive areas besides the right middle fusiform gyrus is necessary for normal face processing. (2003, background): “Recent studies using cooling techniques in monkeys indicate that such feedback signals from higher order visual areas may contribute to the emergence of functional responses in early visual areas (Galuske et al., 2002; see also Bullier, 2001).”
Emotion processing and the amygdala: from a ‘low road’ to ‘many roads’ of evaluating biological significance (2010, neutral): “that low-spatial-frequency information may rapidly reach parietal and frontal cortices from the early visual corte”
Object perception as Bayesian inference. (2004, background): “The generative aspect of Bayesian models is suggestive of the ascending and descending pathways that connect the visual areas in primates (Bullier 2001,Lamme & Roelfsema 2000,Lee & Mumford 2003, Zipser et al 1996, Albright & Stoner 2002).”
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition (2017, background): “During visual processing such as object recognition, two types of mechanisms play important roles: first, a fast subcortical pathway that projects to the frontal lobe does a coarse analysis of the image, categorizing the objects [5, 15, 18], and this provides top-down feedback to a slower, cortical ”
Cross-modal plasticity: where and how? (2002, background): “The efficacy of feedback pathways in shaping neuronal responses in early sensory areas has received much support recentl”
Electrophysiological correlates of rapid spatial orienting towards fearful faces. (2004, neutral): “A similar scheme is thought to mediate mechanisms of spatial attention, with rapid responses in some frontal and parietal areas that can then send signals back to primary visual cortex in order to guide further stimulus processing in the ventral visual stream (Bullier, 2001).”
Are you always on my mind? A review of how face perception and attention interact. (2007, background): “, from left to right) but involves multiple feedback connections (Bullier, 2001).”
How long to get to the “gist” of real-world natural scenes? (2005, background): “Indeed, in everyday situations, the gist of a scene is not changing abruptly from one image to the next but is much stable over time, probably allowing predictive hypotheses about possible objects to build up, as proposed by modern interactive frameworks (Bullier, 2001; Rao & Ballard, 1999; Ullman, ”