This paper introduces a groundbreaking digital neuromorphic architecture that innovatively
integrates Brain Code Unit (BCU) and Fundamental Code Unit (FCU) using mixedsignal …

Two-terminal memristor devices were developed by growing ZnO/ZnO-Al thin films on ITO
substrates using a magnetron sputtering system. The films demonstrate resistance …

Large-scale integration of emerging nanoscale non-volatile memory devices, eg resistive
random-access memory (RRAM), can enable a new generation of neuromorphic computers …

This chapter provides a general review of memristor device application in designing
hardware deep neural networks such as spiking neural network (SNNs), multilevel neural …

Brain-inspired computing is an interdisciplinary field, which aims to use the capabilities of
the human brain. The brain is remarkable for large memory capacity and robust memory …

Decision making, as one of the most essential functions of the human brain, is the key neural
process from sensory stimuli to neuropsychological choices till actions. More recently …

The performance gaps in nowadays memory hierarchy on the first hand between processor
and main memory, on the other hand between main memory and storage have become a …

In order to gain a better understanding of the brain and explore biologically-inspired
computation, significant attention is being paid to research into the spike-based neural …

This brief describes a simple electronic circuit able to emulate the behavior synaptic of a
neuron based on memristors. The proposed circuit is built with two flux-controlled floating …

This work addresses how to naturally adopt the l 2-norm cosine similarity in the
neuromemristive system and studies the unsupervised learning performance on handwritten …