In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

An input device for a biomorphic neuroprocessor is developed. It is designed to encode
incoming information into biomorphic impulses and then transfer it to a storage matrix. The …

Recent studies concerning Spiking Neural Networks show that they are a powerful tool for
multiple applications as pattern recognition, image tracking, and detection tasks. The basic …

Spiking Neural Networks (SNNs) have become an important research theme due to new
discoveries and advances in neurophysiology, which states that information among neurons …

Neural networks represent a type of computing that is based on the way that the brain
performs computations. Neural networks are good at fitting non-linear functions and …

We have proposed MagicCup, a novel wand (3D mouse), for controlling virtual objects in a
tabletop augmented reality (AR) environment. In this paper, we present an evaluation of its …

Разработано входное устройство биоморфного нейропроцессора, предназначенное
для кодирования поступающей информации в биоморфные импульсы и последующей …