The dynamics of object-selective activation correlate with recognition performance in humans

By Kalanit Grill-Spector, T. Kushnir, Talma Hendler, Rafael Malach. Nature Neuroscience, 2000

623 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/15e3d17e8f75a37918e6ba4ed9f3bf6c9849b2d9

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In Cognitive Neuroscience

Citations in the corpus

Recurrent Processing during Object Recognition (2013, background): “During normal object recognition, the strength of the neural activation signal in cortex associated with a given object has been shown to be correlated with subjects’ ability to explicitly name the object’s category (Grill-Spector et al., 2000; Bar et al., 2001).”
Synchronization of Neural Activity across Cortical Areas Correlates with Conscious Perception (2007, background): “Several studies have suggested that conscious perception associates with enhanced sensory responses (Grill-Spector et al., 2000; Bar et al., 2001) and with activation of areas higher in the processing hierarchy (Beck et al.”
The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded (2012, background): “At the highest levels of the ventral stream where pattern masking has been reported to impair object recognition (Grill-Spector et al., 2000; Rolls et al., 1999), receptive fields subtend large portions of the visual field (generally 10–20°; Rust & Dicarlo, 2010; Kobatake & Tanaka, 1994), and thus,…”
Neuroimaging studies of priming. (2003, background): “This form of “masked priming” of visual objects is associated with response increases in regions including the lateral occipital cortex and fusiform (Grill-Spector et al., 2000).”
The neural basis of object perception. (2003, background): “Parameters that have been manipulated include image presentation duration [42], the amount of visible object behind occluding binds [43], object contrast [49], and the degree of coherence of letters [48 ] and objects [43] presented in noise.”
Experimental and theoretical approaches to conscious processing. (2011, methodology): “Grill-Spector et al. (2000) first used fMRI to measure visual activity evoked by masked pictures presented below or above the visibility threshold.”
Seeing black: race, crime, and visual processing. (2004, background): “Simple manipulations such as instructing participants on where to expect a particular stimulus to appear or allowing participants to practice identifying stimuli at extremely short exposure times can have dramatic effects on visual awareness as well as on neural activation in visual regions of the b”
Learning sculpts the spontaneous activity of the resting human brain (2009, background): “The increase in bottom-up drive from intermediate visual areas (V3A/ LO), which are specialized in object and orientation discrimination (45), to higher-order visual areas (FEF) involved in decisionmaking, may reflect the adjustment of internetwork information flow facilitating more automatic detect”
Integration of local features into global shapes: monkey and human FMRI studies. (2003, neutral): “As de- occipital region (LO) and the posterior fusiform (pFs) region as described in previous studies (e.g., Grill-Spector et al., 2000).”
The functional architecture of the ventral temporal cortex and its role in categorization (2014, background): “The collateral sulcus (CoS) predicts the location of parahippocampal place area (PPA (5); also known as the CoS place-selective region (CoS-places)).”
Brain Dynamics Underlying the Nonlinear Threshold for Access to Consciousness (2007, background): “We do not dispute the fact that early extrastriate differences between masked and unmasked stimuli can be found, both in event-related potentials [7,17,58,59] and in fMRI [7,12,13,17,60,61].”
The human visual cortex. (2004, methodology): “(B) Reducing the exposure duration of object and face images reduces the signal in LO and posterior fusiform in a nonlinear fashion that is correlated with subjects’ ability to recognize the objects (Grill-Spector et al. 2000).”