The inerter has garnered much attention in the past two decades owing to its unique
mechanical characteristics. As a substitution of the capacitance element based on the …

The synapse is a crucial element in biological neural networks, but a simple electronic
equivalent has been absent. This complicates the development of hardware that imitates …

Connecting memristors into any neural circuit can enhance its potential controllability under
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …

During the release and propagation of intracellular and extracellular ions, electromagnetic
field is induced accompanying with propagation of energy flow. The firing mode is …

A pulse-based programmable memristor circuit for implementing synaptic weights for
artificial neural networks is proposed. In the memristor weighting circuit, both positive and …

In this paper, we propose a memristor bridge circuit consisting of four identical memristors
that is able to perform zero, negative, and positive synaptic weightings. Together with three …

Synapse plays an important role in signal exchange and information encoding between
neurons. Electric and chemical synapses are often used to investigate the synchronization in …

Novel nonvolatile universal memory technology is essential for providing required storage
for nanocomputing. As a potential contender for the next-generation memory, the recently …

Memristors, as a novel type of electronic device with memory resistance characteristics, are
attracting considerable interest in the field of biomedical applications. In the realm of …

Acting as a support resource for practitioners and professionals looking to advance their
understanding of complex mechatronic systems, Intelligent Mechatronic Systems explains …