Physical inference of falling objects involves simulation of occluded trajectories in early visual areas.
Sign Up to like & getrecommendations! Published in 2023 at "Human brain mapping"
DOI: 10.1002/hbm.26338
Abstract: Humans possess an intuitive understanding of the environment's physical properties and dynamics, which allows them to predict the outcomes of physical scenarios and successfully interact with the physical world. This predictive ability is thought to… read more here.
Keywords: inference task; visual areas; early visual; physical inference ... See more keywords
Activity in Lateral Visual Areas Contributes to Surround Suppression in Awake Mouse V1
Sign Up to like & getrecommendations! Published in 2019 at "Current Biology"
DOI: 10.1016/j.cub.2019.10.037
Abstract: Neuronal response to sensory stimuli depends on the context. The response in primary visual cortex (V1), for instance, is reduced when a stimulus is surrounded by a similar stimulus [1-3]. The source of this surround… read more here.
Keywords: visual areas; suppression; lateral visual; surround suppression ... See more keywords
Mouse Higher Visual Areas Provide Both Distributed and Specialized Contributions to Visually Guided Behaviors
Sign Up to like & getrecommendations! Published in 2020 at "Current Biology"
DOI: 10.1016/j.cub.2020.09.015
Abstract: Cortical parallel processing streams segregate many diverse features of a sensory scene. However, some features are distributed across streams, begging the question of whether and how such distributed representations contribute to perception. We determined the… read more here.
Keywords: visual areas; distributed specialized; higher visual; provide distributed ... See more keywords
Normative cerebral cortical thickness for human visual areas
Sign Up to like & getrecommendations! Published in 2019 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2019.116057
Abstract: Studies of changes in cerebral neocortical thickness often rely on small control samples for comparison with specific populations with abnormal visual systems. We present a normative dataset for FreeSurfer-derived cortical thickness across 25 human visual… read more here.
Keywords: visual areas; human visual; normative cerebral; cortical thickness ... See more keywords
Zooming-in on higher-level vision: High-resolution fMRI for understanding visual perception and awareness
Sign Up to like & getrecommendations! Published in 2021 at "Progress in neurobiology"
DOI: 10.1016/j.pneurobio.2021.101998
Abstract: One of the central questions in visual neuroscience is how the sparse retinal signals leaving our eyes are transformed into a rich subjective visual experience of the world. Invasive physiology studies, which offers the highest… read more here.
Keywords: resolution; visual areas; high resolution; fmri ... See more keywords
Assessing the causal role of early visual areas in visual mental imagery
Sign Up to like & getrecommendations! Published in 2020 at "Nature Reviews Neuroscience"
DOI: 10.1038/s41583-020-0348-5
Abstract: J. Pearson on visual mental imagery (Pearson, J. The human imagination: the cognitive neuroscience of visual mental imagery. Nat. Rev. Neurosci. 20, 624–634 (2019))1. The author outlines a model of visual mental imagery based on… read more here.
Keywords: visual areas; imagery; mental imagery; visual mental ... See more keywords
Orientation anisotropies in macaque visual areas
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2113407119
Abstract: Significance Orientation selectivity is one of the most important functional features of visual neurons. In the primate visual cortex, whether all orientations are represented equally is still unclear. Previous electrophysiological recordings led to controversial findings.… read more here.
Keywords: macaque visual; visual areas; orientation anisotropies; orientation ... See more keywords
Recurrent Processing of Contour Integration in the Human Visual Cortex as Revealed By fMRI-Guided TMS
Sign Up to like & getrecommendations! Published in 2019 at "Cerebral Cortex"
DOI: 10.1093/cercor/bhx296
Abstract: Contour integration is a critical step in visual perception because it groups discretely local elements into perceptually global contours. Previous investigations have suggested that striate and extrastriate visual areas are involved in this mid-level processing… read more here.
Keywords: processing contour; visual areas; integration; cortex ... See more keywords
Relative precision of top-down attentional modulations is lower in early visual cortex compared to mid- and high-level visual areas.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of neurophysiology"
DOI: 10.1152/jn.00300.2021
Abstract: Top-down spatial attention enhances cortical representations of behaviorally relevant visual information and increases the precision of perceptual reports. However, little is known about the relative precision of top-down attentional modulations in different visual areas, especially… read more here.
Keywords: relative precision; attentional modulations; visual areas; top attentional ... See more keywords
Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2017.00100
Abstract: Visual information in the visual cortex is processed in a hierarchical manner. Recent studies show that higher visual areas, such as V2, V3, and V4, respond more vigorously to images with naturalistic higher-order statistics than… read more here.
Keywords: sparse firing; visual areas; higher visual; signature higher ... See more keywords
High-Level Visual Encoding Model Framework with Hierarchical Ventral Stream-Optimized Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12081101
Abstract: Visual encoding models based on deep neural networks (DNN) show good performance in predicting brain activity in low-level visual areas. However, due to the amount of neural data limitation, DNN-based visual encoding models are difficult… read more here.
Keywords: level visual; visual areas; level; visual encoding ... See more keywords