A new type of neuron in the mammalian retina has been discovered. The new cell, named the Campana cell, appears to relay visual signals to both rod and cone photoreceptors in the retina, however, their precise purpose is not yet known.
Visual Neuroscience
Visual Neuroscience news articles cover science research into visual cortex, vision, visual disorders, blindness, brain processing of visual cues, facial recognition and research related to how eyes and brains function.
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.
A new study reports on how simultaneous counter-change of luminance at the borders between object and background triggers activity waves in the visual brain.
A new study provides evidence that the inferior temporal cortex can identify objects.
A visual test may be a new tool in the diagnosis of autism. Individuals on the autism spectrum are slower to dampen neural activity in response to visual stimuli in the brain. Using EEG data collected from the visual region, researchers could predict with 87% accuracy whether or not a person had ASD.
Researchers reveal people perceive positive images to fade more smoothly than negative or neutral images. The study compliments previous findings that emotional states and environment can affect how we perceive time.
Two distinct pathways in the visual system allow us to process 3D motion.
An fMRI study conducted by University of Glasgow researchers reveals how our brains can predict what our eyes will see next.
A new study of drosophila reveals a link between circadian rhythm, diet, lifespan, and eye health. Unexpectedly, researchers found processes in the fly eye that appear to drive the aging process.
Study reveals how evolution and natural selection have optimized the mammalian retina.
A new study reveals people have more top down control of what they don't notice.
Current deep learning models are able to create images strongly enough to activate specific neurons in the visual cortex. However, researchers say more accurate artificial neural network models should be developed to help produce more accurate control.
