With their working mechanisms based on ion migration, the switching dynamics and electrical
behaviour of memristive devices resemble those of synapses and neurons, making these …

The rapid increase in information in the big-data era calls for changes to information-processing
paradigms, which, in turn, demand new circuit-building blocks to overcome the …

Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

The accumulation and extrusion of Ca 2+ in the pre- and postsynaptic compartments play a
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …

The spatial Green's function for the open microstrip structure, especially with a thick substrate,
is generally represented in the time-consuming Sommerfield integrals. Through the …

Purpose To review the impact of collaborative studies on advances in the biology and treatment
of acute lymphoblastic leukemia (ALL) in children and adolescents. Methods A review of …

Memristors with tunable resistance states are emerging building blocks of artificial neural
networks. However, in situ learning on a large-scale multiple-layer memristor network has yet …

Nanoscale metal/oxide/metal switches have the potential to transform the market for
nonvolatile memory and could lead to novel forms of computing. However, progress has been …

Background Previous, uncontrolled studies have suggested that first-line treatment with
gefitinib would be efficacious in selected patients with non–small-cell lung cancer. Methods In …

Memristor-enabled neuromorphic computing systems provide a fast and energy-efficient
approach to training neural networks 1 , 2 , 3 – 4 . However, convolutional neural networks (…