Electromicrobiology: the ecophysiology of phylogenetically diverse electroactive microorganisms
Electroactive microorganisms markedly affect many environments in which they establish
outer-surface electrical contacts with other cells and minerals or reduce soluble extracellular …
outer-surface electrical contacts with other cells and minerals or reduce soluble extracellular …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
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 …
booming, and neural networks have become the hot research direction. However, due to the …
Neuromorphic functions with a polyelectrolyte-confined fluidic memristor
T Xiong, C Li, X He, B Xie, J Zong, Y Jiang, W Ma, F Wu… - Science, 2023 - science.org
Reproducing ion channel–based neural functions with artificial fluidic systems has long
been an aspirational goal for both neuromorphic computing and biomedical applications. In …
been an aspirational goal for both neuromorphic computing and biomedical applications. In …
Silver nanoparticles boost charge-extraction efficiency in Shewanella microbial fuel cells
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 …
to electricity and are of considerable interest for power generation and wastewater …
Organic mixed conductors for bioinspired electronics
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 …
successfully implemented in numerous bioelectronic and biosensing applications, as well as …
Emerging memristive artificial synapses and neurons for energy‐efficient neuromorphic computing
Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …
building blocks of neuromorphic computing and electronic systems. The dynamic …
Memristive Rulkov neuron model with magnetic induction effects
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 …
models but they have not been successfully described by a discrete memristive model yet …
An asymmetric hygroscopic structure for moisture‐driven hygro‐ionic electricity generation and storage
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 …
driven energy generation (MEG). Current MEG materials and devices only establish this …
Memristor-based biomimetic compound eye for real-time collision detection
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 …
neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …
Organic neuroelectronics: from neural interfaces to neuroprosthetics
Requirements and recent advances in research on organic neuroelectronics are outlined
herein. Neuroelectronics such as neural interfaces and neuroprosthetics provide a …
herein. Neuroelectronics such as neural interfaces and neuroprosthetics provide a …