Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …

Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …

Neuromorphic computing based on emerging devices could overcome the von Neumann
bottleneck—the restriction created by having to transfer data between memory and …

Neuromorphic perception systems inspired by biology have tremendous potential in
efficiently processing multi-sensory signals from the physical world, but a highly efficient …

Neuromorphic computing, a computing paradigm inspired by the human brain, enables
energy-efficient and fast artificial neural networks. To process information, neuromorphic …

Physiological signal processing plays a key role in next-generation human-machine
interfaces as physiological signals provide rich cognition-and health-related information …

Developing a single-phase self-rectifying memristor with the continuously tunable feature is
structurally desirable and functionally adaptive to dynamic environmental stimuli variations …

Being capable of dealing with both electrical signals and light, artificial optoelectronic
synapses are of great importance for neuromorphic computing and are receiving a …

The cointegration of artificial neuronal and synaptic devices with homotypic materials and
structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate …

A spiking neural network (SNN) inspired by the structure and principles of the human brain
can significantly enhance the energy efficiency of artificial intelligence computing by …