Emerging materials for neuromorphic devices and systems
Neuromorphic devices and systems have attracted attention as next-generation computing
due to their high efficiency in processing complex data. So far, they have been demonstrated …
due to their high efficiency in processing complex data. So far, they have been demonstrated …
Drawing inspiration from biological dendrites to empower artificial neural networks
This article highlights specific features of biological neurons and their dendritic trees, whose
adoption may help advance artificial neural networks used in various machine learning …
adoption may help advance artificial neural networks used in various machine learning …
The gate injection-based field-effect synapse transistor with linear conductance update for online training
Neuromorphic computing, an alternative for von Neumann architecture, requires synapse
devices where the data can be stored and computed in the same place. The three-terminal …
devices where the data can be stored and computed in the same place. The three-terminal …
Ultralow‐power and multisensory artificial synapse based on electrolyte‐gated vertical organic transistors
Bioinspired electronics have shown great potential in the field of artificial intelligence and
brain‐like science. Low energy consumption and multifunction are key factors for its …
brain‐like science. Low energy consumption and multifunction are key factors for its …
Nanowire-based synaptic devices for neuromorphic computing
The traditional von Neumann structure computers cannot meet the demands of high-speed
big data processing; therefore, neuromorphic computing has received a lot of interest in …
big data processing; therefore, neuromorphic computing has received a lot of interest in …
Nanoscopic electrolyte-gated vertical organic transistors with low operation voltage and five orders of magnitude switching range for neuromorphic systems
Electrolyte-gated organic transistors (EGOTs) are promising candidates as a new class of
neuromorphic devices in hardware-based artificial neural networks that can outperform their …
neuromorphic devices in hardware-based artificial neural networks that can outperform their …
Artificial synapses based on 2D-layered palladium diselenide heterostructure dynamic memristor for neuromorphic applications
The transformation of partially amorphous two-dimensional (2D) material layers represents a
promising avenue for enhancing the reliability of heterostructure memristor devices and …
promising avenue for enhancing the reliability of heterostructure memristor devices and …
[HTML][HTML] Electrolyte-gated neuromorphic transistors for brain-like dynamic computing
In recent years, the rapid increase in the data volume to be processed has led to urgent
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …
All‐solid‐state ion synaptic transistor for Wafer‐scale integration with electrolyte of a nanoscale thickness
Neuromorphic hardware computing is a promising alternative to von Neumann computing
by virtue of its parallel computation and low power consumption. To implement …
by virtue of its parallel computation and low power consumption. To implement …
A bi-functional three-terminal memristor applicable as an artificial synapse and neuron
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs)
show promise in handling spatiotemporal information with high time and energy efficiency …
show promise in handling spatiotemporal information with high time and energy efficiency …