Lilium lancifolium Thunb. is a Chinese traditional plant with various health benefits. In this
study, we purified and characterized the water-soluble polysaccharide fraction (LLP-1A) of L. …

As key components of the human brain's neural network, synapses and neurons are
important processing units that enable highly complex neuromorphic systems. Spiking neural …

The synthesis of cost-effective and high-performance electrocatalysts for water splitting is
the main challenge in electrochemical hydrogen production. In this study, we adopted a high …

Biologically inspired neuromorphic sensory memory systems based on memristor have received
a lot of attention in the booming artificial intelligence industry due to significant potential …

Background The leaves of tea plants (Camellia sinensis) are used to produce tea, which is
one of the most popular beverages consumed worldwide. The nutritional value and health …

Molecular copper catalysts have emerged as promising candidates for the electrochemical
reduction of CO 2 . Notable features of such systems include the ability of Cu to generate C 2…

Neuromorphic computing based on memristors capable of in-memory computing is promising
to break the energy and efficiency bottleneck of well-known von Neumann architectures. …

Ni is one of the most promising catalysts in aldehydes hydrogenation, although the high
overpotential and low Faradaic efficiency limit its electrocatalytic performances. Here we …

By mimicking the behavior of the human brain, artificial neural systems offer the possibility
to further improve computing efficiency and solve the von Neumann bottleneck. In particular, …

It is believed that long-term memory (LTM) cannot be formed immediately because it must go
through a protein synthesis-dependent consolidation process. However, the current study …