The emulation of synaptic plasticity to achieve sophisticated cognitive functions and
adaptive behaviors is critical to the evolution of neuromorphic computation and artificial …

The emulation of biological synapses with learning and memory functions and versatile
plasticity is significantly promising for neuromorphic computing systems. Here, a robust and …

Designing transparent flexible electronics with multi‐biological neuronal functions and
superior flexibility is a key step to establish wearable artificial intelligence equipment. Here …

As key components of artificial afferent nervous systems, synaptic devices can mimic the
physiological synaptic behaviors, which have attracted extensive attentions. Here, a flexible …

Developing multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …

Biological synapses were the basic structure for information transmit, which also perform key
computation functions in neural circuits. Such functionality inspires artificial intelligence to …

Low power electronics endowed with artificial intelligence and biological afferent characters
are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory …

Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

Emulation of biological synapses is necessary for future brain‐inspired neuromorphic
computational systems that could look beyond the standard von Neuman architecture. Here …

The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …