Bioinspired interactive neuromorphic devices
The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …
due to the physical separation of memory and processor. By synergistically integrating …
[HTML][HTML] Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing
Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …
image sensing, memory and computing unit interface, thus promising for latency-and energy …
[HTML][HTML] An elastic and reconfigurable synaptic transistor based on a stretchable bilayer semiconductor
Neurons of the ventral tegmental area of the brain contain single axon terminals that release
excitatory and inhibitory neurotransmitters, creating reconfigurable synaptic behaviour …
excitatory and inhibitory neurotransmitters, creating reconfigurable synaptic behaviour …
A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr‐CsPbI3 Nanocrystals for Visuomorphic Computing
Reconfigurable phototransistor memory attracts considerable attention for adaptive
visuomorphic computing, with highly efficient sensing, memory, and processing functions …
visuomorphic computing, with highly efficient sensing, memory, and processing functions …
Integrated in-sensor computing optoelectronic device for environment-adaptable artificial retina perception application
With the development and application of artificial intelligence, there is an appeal to the
exploitation of various sensors and memories. As the most important perception of human …
exploitation of various sensors and memories. As the most important perception of human …
Bioinspired mechano-photonic artificial synapse based on graphene/MoS2 heterostructure
J Yu, X Yang, G Gao, Y Xiong, Y Wang, J Han… - Science …, 2021 - science.org
Developing multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …
plasticity, memory, and supervised learning functions is an important task toward the …
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 …
Programmable ferroelectric bionic vision hardware with selective attention for high-precision image classification
R Yu, L He, C Gao, X Zhang, E Li, T Guo, W Li… - Nature …, 2022 - nature.com
Selective attention is an efficient processing strategy to allocate computational resources for
pivotal optical information. However, the hardware implementation of selective visual …
pivotal optical information. However, the hardware implementation of selective visual …
Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
Conventional imaging and recognition systems require an extensive amount of data storage,
pre-processing, and chip-to-chip communications as well as aberration-proof light focusing …
pre-processing, and chip-to-chip communications as well as aberration-proof light focusing …