Nanowerk March 8, 2022 Researchers in China reviewed the latest developments in the design of memristors for artificial synapses, the main component of a neuromorphic computing architecture, used in neuromorphic computing. Memristors are a relatively ideal candidate for artificial synapse applications due to their high scalability and low power consumption. However, oxide memristors suffer from unsatisfactory stability and reliability. Oxide-based hybrid structures can effectively improve the device stability and reliability, therefore providing a promising prospect for the application of oxide memristors to neuromorphic computing. The discussion is organized according to the blending schemes as well as the working mechanisms of […]
Tag Archives: Neuromorphic computers
Artificial ‘neurotransistor’ created
Science Daily July 14, 2020 An international team of researchers (Germany, India, South Korea, USA – UC Berkeley) simulated the properties of neurons using the principles of biosensors and modified a classical field-effect transistor to create an artificial neurotransistor. They applied solgel to a conventional silicon wafer with circuits. When solgel hardens and becomes a porous ceramic the ions move between the holes. As they are heavier than electrons and slower to return to their position after excitation, hysteresis causes the storage effect. The plasticity of the neurotransistor, which is similar to that of the human brain, enables them to […]