Neuromorphic computers, which can store information and compute at the same time, have
been considered to be a potential candidate for greatly improving computing efficiency. The …

Hardware implementation of artificial synapses/neurons with 2D solid‐state devices is of
great significance for nanoscale brain‐like computational systems. Here, 2D MoS2 …

Atomically thin two-dimensional transition metal dichalcogenides (2D TMDs) are of interest
for neuromorphic computing due to their extraordinary properties such as low power …

The field of neuromorphic computing systems has been through enormous progress in
recent years, whereas some issues are still remaining to be solved. One of the biggest …

Synaptic devices with dynamic properties are essential for constructing a neuromorphic
system. In this paper, a multiterminal in-plane-gate ionic MoS 2 transistor with dynamic …

Heterosynaptic neuromodulation is a key enabler for energy‐efficient and high‐level
biological neural processing. However, such manifold synaptic modulation cannot be …

The dynamically active synaptic elements are the fundamental building blocks in
neuromorphic systems towards artificial intelligence with computing and sensing …

Ion based synaptic devices (ISDs) are one of the excellent candidates for neuromorphic
computing. However, most of ISDs utilized additional ion sources to supply ions for adjusting …

The limitations of von Neumann computing systems in terms of information processing
speed and energy consumption were overcome using neuromorphic devices. Among these …

The von Neumann bottleneck has spawned the rapid expansion of neuromorphic
engineering and brain-like networks. Synapses serve as bridges for information …