A Mathematical Model Unlocks the Secrets of Vision

A Mathematical Model Unlocks the Secrets of Vision

9/1/2019

link

https://www.quantamagazine.org/a-mathematical-model-unlocks-the-secrets-of-vision-20190821/

summary

This article discusses a mathematical model that aims to unlock the secrets of vision. The model, developed by neuroscientists, attempts to understand how our brains perceive visual information. It proposes that visual perception is not a continuous process, but rather a series of snapshots that our brain puts together to form a coherent image. The model takes into account various factors, such as the visual system's limited processing capacity and the need to extract relevant information from complex visual scenes. The article explains how this model could help scientists gain a better understanding of visual perception and potentially lead to advancements in fields such as computer vision and artificial intelligence.

tags

perception ꞏ pattern recognition ꞏ visual representation ꞏ visual cortex ꞏ sensory integration ꞏ visual system ꞏ brain science ꞏ neuroscience ꞏ mathematical models in perception ꞏ visual experience ꞏ perception and cognition ꞏ visual imagery ꞏ cognitive science ꞏ neurobiology ꞏ visual recognition ꞏ visual processing ꞏ perception and computation ꞏ computational models ꞏ visual memory ꞏ vision science ꞏ perception science ꞏ neural networks ꞏ neural coding ꞏ visual perception ꞏ neural mechanisms ꞏ sensory perception ꞏ visual information processing ꞏ visual signals ꞏ visual cognition ꞏ information processing ꞏ perception and mathematics ꞏ visual perception research ꞏ visual perception models ꞏ visual attention ꞏ cognitive psychology ꞏ brain function ꞏ visual neuroscience ꞏ neural computations ꞏ sensory systems ꞏ vision ꞏ visual perception theory ꞏ visual stimuli ꞏ computational neuroscience ꞏ mathematical model ꞏ psychophysics ꞏ visual illusions ꞏ perception and brain ꞏ visual analysis