The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Neuromorphic computers comprised of artificial neurons and synapses could provide a
more efficient approach to implementing neural network algorithms than traditional …

As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

Metal oxide resistive switching memories have been a crucial component for the
requirements of the Internet of Things, which demands ultra‐low power and high‐density …

Biological synapses store and process information simultaneously by tuning the connection
between two neighboring neurons. Such functionality inspires the task of hardware …

The concept of the memristor, a resistor with memory, was proposed by Chua in 1971 as the
fourth basic element of electric circuitry. Despite a significant amount of effort devoted to the …

Biomemristor has attracted a lot of attention due to its excellent scalability, high flexibility,
easy processing and low fabrication cost. Natural biomaterial and polymer-based memristor …

Electronic devices featuring biomimetic behaviour as electronic synapses and neurons have
motivated the emergence of a new era in information and humanoid robotics technologies …

With the advent of the big data era and the Internet of Things, promising hardware
techniques for data storage and energy-efficient data processing are in great demand. This …