Tag: Neural Networks

AI AIoT Machine Learning & Data Science Research

ETH Zurich Leverages Spiking Neural Networks To Build Ultra-Low-Power Neuromorphic Processors

A research team from ETH Zurich leverages existing spike-based learning circuits to propose a biologically plausible architecture that is highly successful in classifying distinct and complex spatio-temporal spike patterns. The work contributes to the design of ultra-low-power mixed-signal neuromorphic processing systems capable of distinguishing spatio-temporal patterns in spiking activity.