Visual field maps in human cortex.

By Brian A. Wandell, Serge O. Dumoulin, Alyssa A. Brewer. Neuron, 2007

1,251 citations recorded by the source corpus.

Subfields: Education, General Health Professions, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/226049daa572f0780a948d9a1fbe414f0b56f497

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Citations in the corpus

Probabilistic Maps of Visual Topography in Human Cortex. (2015, background): “Higher order regions with larger receptive fields, such as TO1/2, VO1/2, and PHC1/2, are better identified using a longer stimulus cycle (40 or 64 s), thinner wedges (45°), and typically require a longer scan session (Wandell et al. 2007; Kolster et al. 2010).”
A network of topographic numerosity maps in human association cortex (2016, methodology): “NTO’s centre was at Montreal Neurological Institute (MNI) x, y, z coordinates 44(7), − 75(1), − 4(3) in the right”
Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. (2010, background): “They can also have useful applications for the study of the brain’s visual functional areas (see Wandell et al., 2007 for a review).”
High-field fMRI unveils orientation columns in humans (2008, methodology): “1a illustrates, for subject 1, the anatomical region that was sampled across the flat cortex in V1 ([which was determined by standard retinotopic experiments in separate sessions (36, 37)] in which ODC (Fig.”
Reconstructing visual experiences from brain activity evoked by natural movies (2011, neutral): “The spatial receptive fields of individual voxels were spatially localized (Figures 2F and 2G, left) and were organized retinotopically (Figures 2H and 2I), as reported in previous fMRI studies [12, 19–23].”
Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, background): “6A).”
Topographic mapping of a hierarchy of temporal receptive windows using a narrated story (2011, background): “…about the integration of information across space within the visual system (Sereno et al., 1995; DeYoe et al., 1996; Malach et al., 2002; Larsson et al., 2006; Wandell et al., 2007; Silver and Kastner, 2009), but little is known about the integration of information over seconds and minutes of time.”
Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision (2016, methodology): “The human visual cortex may use a deeper hierarchy, than the 8-layer CNN in this study, spanning >20 visual areas (Wandell et al. 2007), and thus it may be better explained by deeper CNNs (Simonyan and Ziserman”
Functional Correlates of the Antero-Lateral Processing Hierarchy in Human Auditory Cortex (2011, neutral): “DOI:10.1523/JNEUROSCI.1448-11.2011 Copyright © 2011 the authors 0270-6474/11/319345-08$15.00/0 boundaries by means of visual field mapping (Engel et al., 1997; Sereno et al., 2001; Wandell et al., 2007).”
Towards a Mathematical Theory of Cortical Micro-circuits (2009, background): “Hence, the circuits here provide no explanation for observed cortical maps [70,71].”
A Hierarchy of Time-Scales and the Brain (2008, neutral): “Due to convergence and divergence of extrinsic forward and backward connections, low visual levels like the primary visual cortex (V1) have small spatial receptive fields, whereas higher visual areas have larger receptive fields; e.g., lateral-occipital cortex [ 50 ].”
Using high-resolution quantitative mapping of R1 as an index of cortical myelination (2014, positive): “This has been an extremely productive approach, and has shown that much of the cortex is tiled with maps (Graziano and Aflalo, 2007; Schreiner and Winer, 2007; Wandell et al., 2007).”
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI (2017, background): “Intriguingly, LO1 and LO2, which are in the same visual field map clusters (Wandell et al. 2007), appeared to be grouped together, although also fractionated, possibly also based on visual eccentricity organization (c.”
When size matters: attention affects performance by contrast or response gain (2010, methodology): “Standard retinotopic mapping procedures were used to identify V1, for each observe”
Functional connectivity of visual cortex in the blind follows retinotopic organization principles (2015, methodology): “…phase-encoded retinotopic mapping protocol, with eccentricity and polar mapping of ring and wedge stimuli, respectively, to measure visual retinotopic mapping (Engel et al., 1994; Sereno et al., 1995; Wandell et al., 2007b; Wandell and Winawer, 2011), delivered during two separate experiments.”
Human Neuroscience (positive): “At the time of data collection, we were not able to measure eye movements to verify that subjects successfully maintained fi xation; however, we will report on the visual response from retinotopic hMT+, which demonstrates a high degree of retinotopic specifi city (e.g., Wandell et al., 2007).”