Electroactive microorganisms markedly affect many environments in which they establish
outer-surface electrical contacts with other cells and minerals or reduce soluble extracellular …

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 …

Reproducing ion channel–based neural functions with artificial fluidic systems has long
been an aspirational goal for both neuromorphic computing and biomedical applications. In …

Microbial fuel cells (MFCs) can directly convert the chemical energy stored in organic matter
to electricity and are of considerable interest for power generation and wastewater …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

Artificial neuromorphic devices can emulate dendric integration, axonal parallel
transmission, along with superior energy efficiency in facilitating efficient information …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …

The interactions between moisture and materials give rise to the possibility of moisture‐
driven energy generation (MEG). Current MEG materials and devices only establish this …

The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual
neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …