The human brain can learn through experience to filter out disturbing and distracting stimuli—such as a glaring roadside billboard or a flashing banner on the internet. Scientists at Leipzig ...

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to revolutionize artificial visual systems. This innovative array, measuring a ...

(Nanowerk Spotlight) Replicating human visual perception in machines has been an ongoing challenge for engineers and researchers. While computers today can recognize images or analyze video footage, ...

Scientists in Japan have developed a groundbreaking AI synapse that recognizes colors nearly as well as the human eye, promising great advances in energy-efficient visual recognition for smartphones, ...

The photoreceptors (cones and rods) and ganglion cells are non-uniformly distributed in the retina in the human eye as shown in the left figure below. The density of cone receptors and ganglion cells ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

Ch. 1 Parallel visual pathways in a dynamic system / Vivien A. Casagrande and David W. Royal -- Ch. 2 Comparative study of the primate retina / Luiz Carlos de Lima Silveira -- Ch. 3 The pulvinar ...