Researchers identified how the primary visual cortex and the lateromedial area of the cerebral cortex influence one another, and how this communication changes over rapid timespans.
Researchers have identified a flexible mechanism of visual information representation that alters in correlation to visual contrasts.
Humans use the primary visual cortex to process sounds in the dark. This not only occurs in those with sight but also those who were born blind.
The neuropeptide somatostatin improves visual processing and cognitive behaviors by reducing excitatory inputs to parvalbumin-positive interneurons in mice.
Study provides new evidence supporting the theory that perceptual limitations are caused by a correlated noise in neural activity.
When learning a new task, brain activities alter over time as mice transition to an expert from a novice. The changes are reflected in neural networks and neural activity. As the animal's knowledge grows, neural networks become more focused.
Visual neurons selectively respond to color and shape along a continuum. While some neurons are only activated by either a specific color or shape, others are responsive to color and shape simultaneously. The findings contradict previous beliefs about how visual processing works.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechRoboticsVisual Neuroscience··5 min read
MEG neuroimaging implicates the occipital place area (OPA) in our ability to rapidly sense our surroundings. The findings may advance improving machine learning and robotics technology aimed at mimicking visual processes in the human brain.
Retinal ganglion cell survival following a stroke depends on whether the pathway to the primary visual area remains active. Cells connected to inactive areas of the visual cortex suffer atrophy and degenerate, leading to permanent visual impairment.
Researchers find neural activation patterns were predictive of the contents of voluntary visual imagery as far as 11 seconds before the choice of what to imagine. These results suggest that the contents of future visual imagery can be biased by current or prior neural representations.