The highly dynamic, new "expanding hole" optical illusion can be perceived by 86% of people. The illusion is so good at deceiving the brain, it causes pupillary dilation as though we are walking into a darkened room.
Researchers reveal how the brain creates an illusion of visual stability.
Study reveals how decisions based on visual information, which involves a complex stream of data flowing forwards and backward along the visual pathways, are broadcast widely to neurons in the visual system, including those not involved in the decision-making process.
Many people report feeling nausea and dizziness, similar to motion sickness, when looking at their cellphones or computers for too long. Researchers investigate why some experience cybersickness and provide advice on managing symptoms.
Effectively, mammals "dream" about the world they are about to experience before they are able to open their eyes and possibly before they are born. Researchers found before a newborn mouse opened its eyes, its retinal waves flow in a pattern that mimics the activity which would occur as the animal moves through the environment.
Jumping spiders can distinguish between living and non-living objects based upon their movement, a new study reports.
While commonly implicated in long-term memory, researchers report the hippocampus plays a critical role in short-term memory and decision making.
Findings suggest prediction may be a general feature of animal nervous systems in supporting quick behavioral changes.
Infants take less than one second to completely process visual information. They also have the same temporal limitations in visual processing as adults.
Researchers propose a new theory of what happens in the brain when we experience familiar seeming visual stimuli. The theory, dubbed sensory referenced suppression, suggests the brain understands different levels of activation expected for sensory input and corrects for it, leaving behind the signal for familiarity.
Findings contradict the assumption the visual system categorizes objects based on simple features alone.
When convolutional neural networks are trained under experimental conditions, they are deceived by the brightness and color of a visual image in similar ways to the human visual system.
